On a Calculus-Based Statistics Course for Life Science Students

ERIC Educational Resources Information Center

Watkins, Joseph C.

2010-01-01

The choice of pedagogy in statistics should take advantage of the quantitative capabilities and scientific background of the students. In this article, we propose a model for a statistics course that assumes student competency in calculus and a broadening knowledge in biology. We illustrate our methods and practices through examples from the…

Knowledge level of effect size statistics, confidence intervals and meta-analysis in Spanish academic psychologists.

PubMed

Badenes-Ribera, Laura; Frias-Navarro, Dolores; Pascual-Soler, Marcos; Monterde-I-Bort, Héctor

2016-11-01

The statistical reform movement and the American Psychological Association (APA) defend the use of estimators of the effect size and its confidence intervals, as well as the interpretation of the clinical significance of the findings. A survey was conducted in which academic psychologists were asked about their behavior in designing and carrying out their studies. The sample was composed of 472 participants (45.8% men). The mean number of years as a university professor was 13.56 years (SD= 9.27). The use of effect-size estimators is becoming generalized, as well as the consideration of meta-analytic studies. However, several inadequate practices still persist. A traditional model of methodological behavior based on statistical significance tests is maintained, based on the predominance of Cohen’s d and the unadjusted R2/η2, which are not immune to outliers or departure from normality and the violations of statistical assumptions, and the under-reporting of confidence intervals of effect-size statistics. The paper concludes with recommendations for improving statistical practice.

Current and future health care professionals attitudes toward and knowledge of statistics: How confidence influences learning.

PubMed

Baghi, Heibatollah; Kornides, Melanie L

2013-01-01

Health care professionals require some understanding of statistics to successfully implement evidence based practice. Developing competency in statistical reasoning is necessary for students training in health care administration, research, and clinical care. Recently, the interest in healthcare professional's attitudes toward statistics has increased substantially due to evidence that these attitudes can hinder professionalism developing an understanding of statistical concepts. In this study, we analyzed pre- and post-instruction attitudes towards and knowledge of statistics obtained from health science graduate students, including nurses and nurse practitioners, enrolled in an introductory graduate course in statistics (n = 165). Results show that the students already held generally positive attitudes toward statistics at the beginning of course. However, these attitudes-along with the students' statistical proficiency-improved after 10 weeks of instruction. The results have implications for curriculum design and delivery methods as well as for health professionals' effective use of statistics in critically evaluating and utilizing research in their practices.

Current and future health care professionals attitudes toward and knowledge of statistics: How confidence influences learning

PubMed Central

Baghi, Heibatollah; Kornides, Melanie L.

2014-01-01

Background Health care professionals require some understanding of statistics to successfully implement evidence based practice. Developing competency in statistical reasoning is necessary for students training in health care administration, research, and clinical care. Recently, the interest in healthcare professional's attitudes toward statistics has increased substantially due to evidence that these attitudes can hinder professionalism developing an understanding of statistical concepts. Methods In this study, we analyzed pre- and post-instruction attitudes towards and knowledge of statistics obtained from health science graduate students, including nurses and nurse practitioners, enrolled in an introductory graduate course in statistics (n = 165). Results and Conclusions Results show that the students already held generally positive attitudes toward statistics at the beginning of course. However, these attitudes—along with the students’ statistical proficiency—improved after 10 weeks of instruction. The results have implications for curriculum design and delivery methods as well as for health professionals’ effective use of statistics in critically evaluating and utilizing research in their practices. PMID:25419256

Perspectives of dental students and faculty about evidence-based dental practice.

PubMed

Abdelkarim, Ahmad; Sullivan, Donna

2014-12-01

The study aimed at evaluating attitudes and perceptions of dental students and faculty toward evidence-based practice, integration of technology and social media, general practitioners' and specialists' scope of practice, and dental practice rewards and disadvantages. A survey instrument was designed with 10 statements rated on a five-point Likert scale (strongly agree to strongly disagree) and an optional comment section. The survey instrument was delivered through SurveyMonkey, whereby 401 students and 182 faculty members from ten U.S. dental schools participated (16% estimated response rate). Null hypotheses regarding the equality between the responses of the two groups were statistically tested using Mann-Whitney U test. Statistical significance was set at .05. Evidence-based practice is positively perceived by both groups, but with significantly higher support by faculty than students (P = 0.002). Both groups agreed that technological advancements are advantageous (P = 0.95), but do not constitute good dentistry and cannot mask poor clinical skills. Students showed higher support for social media than faculty (P = 0.000). Both groups perceived group practices positively. Faculty members showed higher agreement than students toward limitation of dental specialists' practices to their specialties (P = 0.000). Both groups are aware of practice disadvantages, such as increased litigation, health risks, and detriment to the dentist's posture. However, they both perceive dental practice positively despite all these challenges. Students and faculty share generally comparable perspectives toward dental practice. They are both in agreement with evidence-based practice and adoption of technology. They both acknowledge practice limitations. Copyright © 2014 Elsevier Inc. All rights reserved.

Practices participating in a dental PBRN have substantial and advantageous diversity even though as a group they have much in common with dentists at large

PubMed Central

Makhija, Sonia K; Gilbert, Gregg H; Rindal, D Brad; Benjamin, Paul; Richman, Joshua S; Pihlstrom, Daniel J; Qvist, Vibeke

2009-01-01

Background Practice-based research networks offer important opportunities to move recent advances into routine clinical practice. If their findings are not only generalizable to dental practices at large, but can also elucidate how practice characteristics are related to treatment outcome, their importance is even further elevated. Our objective was to determine whether we met a key objective for The Dental Practice-Based Research Network (DPBRN): to recruit a diverse range of practitioner-investigators interested in doing DPBRN studies. Methods DPBRN participants completed an enrollment questionnaire about their practices and themselves. To date, more than 1100 practitioners from the five participating regions have completed the questionnaire. The regions consist of: Alabama/Mississippi, Florida/Georgia, Minnesota, Permanente Dental Associates, and Scandinavia (Denmark, Norway, and Sweden). We tested the hypothesis that there are statistically significant differences in key characteristics among DPBRN practices, based on responses from dentists who participated in DPBRN's first network-wide study (n = 546). Results There were statistically significant, substantive regional differences among DPBRN-participating dentists, their practices, and their patient populations. Conclusion Although as a group, participants have much in common with practices at large; their substantial diversity offers important advantages, such as being able to evaluate how practice differences may affect treatment outcomes, while simultaneously offering generalizability to dentists at large. This should help foster knowledge transfer in both the research-to-practice and practice-to-research directions. PMID:19832991

Techniques in teaching statistics : linking research production and research use.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Martinez-Moyano, I .; Smith, A.; Univ. of Massachusetts at Boston)

In the spirit of closing the 'research-practice gap,' the authors extend evidence-based principles to statistics instruction in social science graduate education. The authors employ a Delphi method to survey experienced statistics instructors to identify teaching techniques to overcome the challenges inherent in teaching statistics to students enrolled in practitioner-oriented master's degree programs. Among the teaching techniques identi?ed as essential are using real-life examples, requiring data collection exercises, and emphasizing interpretation rather than results. Building on existing research, preliminary interviews, and the ?ndings from the study, the authors develop a model describing antecedents to the strength of the link between researchmore » and practice.« less

Hospital adoption of automated surveillance technology and the implementation of infection prevention and control programs.

PubMed

Halpin, Helen; Shortell, Stephen M; Milstein, Arnold; Vanneman, Megan

2011-05-01

This research analyzes the relationship between hospital use of automated surveillance technology (AST) for identification and control of hospital-acquired infections (HAI) and implementation of evidence-based infection control practices. Our hypothesis is that hospitals that use AST have made more progress implementing infection control practices than hospitals that rely on manual surveillance. A survey of all acute general care hospitals in California was conducted from October 2008 through January 2009. A structured computer-assisted telephone interview was conducted with the quality director of each hospital. The final sample includes 241 general acute care hospitals (response rate, 83%). Approximately one third (32.4%) of California's hospitals use AST for monitoring HAI. Adoption of AST is statistically significant and positively associated with the depth of implementation of evidence-based practices for methicillin-resistant Staphylococcus aureus and ventilator-associated pneumonia and adoption of contact precautions and surgical care infection practices. Use of AST is also statistically significantly associated with the breadth of hospital implementation of evidence-based practices across all 5 targeted HAI. Our findings suggest that hospitals using AST can achieve greater depth and breadth in implementing evidenced-based infection control practices. Copyright © 2011 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Mosby, Inc. All rights reserved.

Practice-based evidence study design for comparative effectiveness research.

PubMed

Horn, Susan D; Gassaway, Julie

2007-10-01

To describe a new, rigorous, comprehensive practice-based evidence for clinical practice improvement (PBE-CPI) study methodology, and compare its features, advantages, and disadvantages to those of randomized controlled trials and sophisticated statistical methods for comparative effectiveness research. PBE-CPI incorporates natural variation within data from routine clinical practice to determine what works, for whom, when, and at what cost. It uses the knowledge of front-line caregivers, who develop study questions and define variables as part of a transdisciplinary team. Its comprehensive measurement framework provides a basis for analyses of significant bivariate and multivariate associations between treatments and outcomes, controlling for patient differences, such as severity of illness. PBE-CPI studies can uncover better practices more quickly than randomized controlled trials or sophisticated statistical methods, while achieving many of the same advantages. We present examples of actionable findings from PBE-CPI studies in postacute care settings related to comparative effectiveness of medications, nutritional support approaches, incontinence products, physical therapy activities, and other services. Outcomes improved when practices associated with better outcomes in PBE-CPI analyses were adopted in practice.

Making the Case for Evidence-Based Practice

ERIC Educational Resources Information Center

Bates, Joanne; McClure, Janelle; Spinks, Andy

2010-01-01

Evidence-based practice is the collection, interpretation, and use of data, such as collection statistics or assessment results, that measure the effectiveness of a library media program. In this article, the authors will present various forms of evidence and show that any library media specialist can use data to make informed decisions that…

A comparison of three methods of setting prescribing budgets, using data derived from defined daily dose analyses of historic patterns of use.

PubMed Central

Maxwell, M; Howie, J G; Pryde, C J

1998-01-01

BACKGROUND: Prescribing matters (particularly budget setting and research into prescribing variation between doctors) have been handicapped by the absence of credible measures of the volume of drugs prescribed. AIM: To use the defined daily dose (DDD) method to study variation in the volume and cost of drugs prescribed across the seven main British National Formulary (BNF) chapters with a view to comparing different methods of setting prescribing budgets. METHOD: Study of one year of prescribing statistics from all 129 general practices in Lothian, covering 808,059 patients: analyses of prescribing statistics for 1995 to define volume and cost/volume of prescribing for one year for 10 groups of practices defined by the age and deprivation status of their patients, for seven BNF chapters; creation of prescribing budgets for 1996 for each individual practice based on the use of target volume and cost statistics; comparison of 1996 DDD-based budgets with those set using the conventional historical approach; and comparison of DDD-based budgets with budgets set using a capitation-based formula derived from local cost/patient information. RESULTS: The volume of drugs prescribed was affected by the age structure of the practices in BNF Chapters 1 (gastrointestinal), 2 (cardiovascular), and 6 (endocrine), and by deprivation structure for BNF Chapters 3 (respiratory) and 4 (central nervous system). Costs per DDD in the major BNF chapters were largely independent of age, deprivation structure, or fundholding status. Capitation and DDD-based budgets were similar to each other, but both differed substantially from historic budgets. One practice in seven gained or lost more than 100,000 Pounds per annum using DDD or capitation budgets compared with historic budgets. The DDD-based budget, but not the capitation-based budget, can be used to set volume-specific prescribing targets. CONCLUSIONS: DDD-based and capitation-based prescribing budgets can be set using a simple explanatory model and generalizable methods. In this study, both differed substantially from historic budgets. DDD budgets could be created to accommodate new prescribing strategies and raised or lowered to reflect local intentions to alter overall prescribing volume or cost targets. We recommend that future work on setting budgets and researching prescribing variations should be based on DDD statistics. PMID:10024703

Statistics teaching in medical school: opinions of practising doctors.

PubMed

Miles, Susan; Price, Gill M; Swift, Louise; Shepstone, Lee; Leinster, Sam J

2010-11-04

The General Medical Council expects UK medical graduates to gain some statistical knowledge during their undergraduate education; but provides no specific guidance as to amount, content or teaching method. Published work on statistics teaching for medical undergraduates has been dominated by medical statisticians, with little input from the doctors who will actually be using this knowledge and these skills after graduation. Furthermore, doctor's statistical training needs may have changed due to advances in information technology and the increasing importance of evidence-based medicine. Thus there exists a need to investigate the views of practising medical doctors as to the statistical training required for undergraduate medical students, based on their own use of these skills in daily practice. A questionnaire was designed to investigate doctors' views about undergraduate training in statistics and the need for these skills in daily practice, with a view to informing future teaching. The questionnaire was emailed to all clinicians with a link to the University of East Anglia Medical School. Open ended questions were included to elicit doctors' opinions about both their own undergraduate training in statistics and recommendations for the training of current medical students. Content analysis was performed by two of the authors to systematically categorize and describe all the responses provided by participants. 130 doctors responded, including both hospital consultants and general practitioners. The findings indicated that most had not recognised the value of their undergraduate teaching in statistics and probability at the time, but had subsequently found the skills relevant to their career. Suggestions for improving undergraduate teaching in these areas included referring to actual research and ensuring relevance to, and integration with, clinical practice. Grounding the teaching of statistics in the context of real research studies and including examples of typical clinical work may better prepare medical students for their subsequent career.

On a Calculus-based Statistics Course for Life Science Students

PubMed Central

2010-01-01

The choice of pedagogy in statistics should take advantage of the quantitative capabilities and scientific background of the students. In this article, we propose a model for a statistics course that assumes student competency in calculus and a broadening knowledge in biology. We illustrate our methods and practices through examples from the curriculum. PMID:20810962

Practicality of Elementary Statistics Module Based on CTL Completed by Instructions on Using Software R

NASA Astrophysics Data System (ADS)

Delyana, H.; Rismen, S.; Handayani, S.

2018-04-01

This research is a development research using 4-D design model (define, design, develop, and disseminate). The results of the define stage are analyzed for the needs of the following; Syllabus analysis, textbook analysis, student characteristics analysis and literature analysis. The results of textbook analysis obtained the description that of the two textbooks that must be owned by students also still difficulty in understanding it, the form of presentation also has not facilitated students to be independent in learning to find the concept, textbooks are also not equipped with data processing referrals by using software R. The developed module is considered valid by the experts. Further field trials are conducted to determine the practicality and effectiveness. The trial was conducted to the students of Mathematics Education Study Program of STKIP PGRI which was taken randomly which has not taken Basic Statistics Course that is as many as 4 people. Practical aspects of attention are easy, time efficient, easy to interpret, and equivalence. The practical value in each aspect is 3.7; 3.79, 3.7 and 3.78. Based on the results of the test students considered that the module has been very practical use in learning. This means that the module developed can be used by students in Elementary Statistics learning.

Statistical mechanics of broadcast channels using low-density parity-check codes.

PubMed

Nakamura, Kazutaka; Kabashima, Yoshiyuki; Morelos-Zaragoza, Robert; Saad, David

2003-03-01

We investigate the use of Gallager's low-density parity-check (LDPC) codes in a degraded broadcast channel, one of the fundamental models in network information theory. Combining linear codes is a standard technique in practical network communication schemes and is known to provide better performance than simple time sharing methods when algebraic codes are used. The statistical physics based analysis shows that the practical performance of the suggested method, achieved by employing the belief propagation algorithm, is superior to that of LDPC based time sharing codes while the best performance, when received transmissions are optimally decoded, is bounded by the time sharing limit.

Introduction to the Practice of Statistics David Moore Introduction to the Practice of Statistics and George McCabe WH. Freeman 850 £39.99 071676282X 071676282X [Formula: see text].

PubMed

2005-10-01

This is a very well-written and beautifully presented book. It is north American in origin and, while it will be invaluable for teachers of statistics to nurses and other healthcare professionals, it is probably not suitable for many preor post-registration students in health in the UK. The material is quite advanced and, while well illustrated, exemplified and with numerous examples for students, it takes a fairly mathematical approach in places. Nevertheless, the book has much to commend it, including a CD-ROM package containing tutorials, a statistical package, solutions based on the exercises in the text and case studies.

Factors associated with emergency medical services scope of practice for acute cardiovascular events.

PubMed

Williams, Ishmael; Valderrama, Amy L; Bolton, Patricia; Greek, April; Greer, Sophia; Patterson, Davis G; Zhang, Zefeng

2012-01-01

To examine prehospital emergency medical services (EMS) scope of practice for acute cardiovascular events and characteristics that may affect scope of practice; and to describe variations in EMS scope of practice for these events and the characteristics associated with that variability. In 2008, we conducted a telephone survey of 1,939 eligible EMS providers in nine states to measure EMS agency characteristics, medical director involvement, and 18 interventions authorized for prehospital care of acute cardiovascular events by three levels of emergency medical technician (EMT) personnel. A total of 1,292 providers responded to the survey, for a response rate of 67%. EMS scope of practice interventions varied by EMT personnel level, with the proportion of authorized interventions increasing as expected from EMT-Basic to EMT-Paramedic. Seven of eight statistically significant associations indicated that EMS agencies in urban settings were less likely to authorize interventions (odds ratios <0.7) for any level of EMS personnel. Based on the subset of six statistically significant associations, fire department-based EMS agencies were two to three times more likely to authorize interventions for EMT-Intermediate personnel. Volunteer EMS agencies were more than twice as likely as nonvolunteer agencies to authorize interventions for EMT-Basic and EMT-Intermediate personnel but were less likely to authorize any one of the 11 interventions for EMT-Paramedics. Greater medical director involvement was associated with greater likelihood of authorization of seven of the 18 interventions for EMT-Basic and EMT-Paramedic personnel but had no association with EMT-Intermediate personnel. We noted statistically significant variations in scope of practice by rural vs. urban setting, medical director involvement, and type of EMS service (fire department-based/non-fire department-based; volunteer/paid). These variations highlight local differences in the composition and capacity of EMS providers and offer important information for the transition towards the implementation of a national scope of practice model.

Statistics for Learning Genetics

ERIC Educational Resources Information Center

Charles, Abigail Sheena

2012-01-01

This study investigated the knowledge and skills that biology students may need to help them understand statistics/mathematics as it applies to genetics. The data are based on analyses of current representative genetics texts, practicing genetics professors' perspectives, and more directly, students' perceptions of, and performance in, doing…

Teacher Quality Indicators as Predictors of Instructional Assessment Practices in Science Classrooms in Secondary Schools in Barbados

NASA Astrophysics Data System (ADS)

Ogunkola, Babalola J.; Archer-Bradshaw, Ramona E.

2013-02-01

This study investigated the self-reported instructional assessment practices of a selected sample of secondary school science teachers in Barbados. The study sought to determine if there were statistically significant differences in the instructional assessment practices of teachers based on their sex and teacher quality (teaching experience, professional qualification and teacher academic qualification). It also sought to determine the extent to which each of these four selected variables individually and jointly affected the teachers' report of their instructional assessment practices. A sample of 55 science teachers from nine secondary schools in Barbados was randomly selected to participate in this study. Data was collected by means of a survey and was analyzed using the means and standard deviations of the instructional assessment practices scores and linear, multiple and binary logistic regression. The results of the study were such that the majority of the sample reported good overall instructional assessment practices while only a few participants reported moderate assessment practices. The instructional assessment practices in the area of student knowledge were mostly moderate as indicated by the sample. There were no statistically significant differences between or among the mean scores of the teachers' reported instructional assessment practices based on sex ( t = 0.10; df = 53; p = 0.992), teaching experience ( F[4,50] = 1.766; p = 0.150), the level of professional qualification (F[3,45] = 0.2117; p = 0.111) or the level of academic qualification (F[2,52] = 0.504; p = 0.607). The independent variables (teacher sex, teaching experience, teacher professional qualification or teacher academic qualification) were not significant predictors of the instructional assessment practices scores. However, teacher sex was a significant predictor of the teachers' report of good instructional assessment practices. The study also found that the joint effect of the variables teacher sex, teaching experience, teacher professional qualification and teacher academic qualification was not significant in predicting the instructional assessment practices scores of the science teachers. However, the joint effect of these variables was statistically significant ( X 2 = 18.482; df = 10; p = 0.047) in predicting the teachers' reported use of good instructional assessment practices. The best predictor of teachers' report of good instructional assessment practices, though not statistically significant, was the diploma in education professional qualification.

Teacher Quality Indicators as Predictors of Instructional Assessment Practices in Science Classrooms in Secondary Schools in Barbados

ERIC Educational Resources Information Center

Ogunkola, Babalola J.; Archer-Bradshaw, Ramona E.

2013-01-01

This study investigated the self-reported instructional assessment practices of a selected sample of secondary school science teachers in Barbados. The study sought to determine if there were statistically significant differences in the instructional assessment practices of teachers based on their sex and teacher quality (teaching experience,…

Research awareness: An important factor for evidence-based practice?

PubMed

McSherry, Robert; Artley, Angela; Holloran, Jan

2006-01-01

Despite the growing body of literature, the reality of getting evidence into practice remains problematic. The purpose of this study was to establish levels of research awareness amongst registered health care professionals (RHCPs) and the influence of research awareness on evidence-based practice activities. This was a descriptive quantitative study. A convenience sample of 2,126 registered RHCPs working in a large acute hospital in Northeast England, the United Kingdom was used. A self-completion Research Awareness Questionnaire (RAQ) was directed towards measuring RHCP: attitudes towards research, understanding of research and the research process, and associations with practising using an evidence base. Data were entered into a Statistical Package for Social Science (SPSS) database and descriptive and inferential statistics were used. A total of 843 questionnaires were returned. Seven hundred and thirty-three (91%) RHCPs overwhelmingly agreed with the principle that evidence-based practice has a large part to play in improving patient care. This point was reinforced by 86% (n = 701) of respondents strongly agreeing or agreeing with the idea that evidence-based practice is the way forward to change clinical practice. Significant associations were noted between levels of confidence to undertake a piece of research and whether the individual had received adequate information about the research process, had basic knowledge and understanding of the research process, or had research awareness education or training. The study shows that RHCPs, regardless of position or grade, have a positive attitude towards research but face many obstacles. The key obstacles are lack of time, support, knowledge, and confidence. To address these obstacles, it is imperative that the organisation adopts a structured and coordinated approach to enable and empower individuals to practice using an evidence base.

Statistical Process Control in the Practice of Program Evaluation.

ERIC Educational Resources Information Center

Posavac, Emil J.

1995-01-01

A technique developed to monitor the quality of manufactured products, statistical process control (SPC), incorporates several features that may prove attractive to evaluators. This paper reviews the history of SPC, suggests how the approach can enrich program evaluation, and illustrates its use in a hospital-based example. (SLD)

Psychology, Science, and Knowledge Construction: Broadening Perspectives from the Replication Crisis.

PubMed

Shrout, Patrick E; Rodgers, Joseph L

2018-01-04

Psychology advances knowledge by testing statistical hypotheses using empirical observations and data. The expectation is that most statistically significant findings can be replicated in new data and in new laboratories, but in practice many findings have replicated less often than expected, leading to claims of a replication crisis. We review recent methodological literature on questionable research practices, meta-analysis, and power analysis to explain the apparently high rates of failure to replicate. Psychologists can improve research practices to advance knowledge in ways that improve replicability. We recommend that researchers adopt open science conventions of preregi-stration and full disclosure and that replication efforts be based on multiple studies rather than on a single replication attempt. We call for more sophisticated power analyses, careful consideration of the various influences on effect sizes, and more complete disclosure of nonsignificant as well as statistically significant findings.

A person based formula for allocating commissioning funds to general practices in England: development of a statistical model.

PubMed

Dixon, Jennifer; Smith, Peter; Gravelle, Hugh; Martin, Steve; Bardsley, Martin; Rice, Nigel; Georghiou, Theo; Dusheiko, Mark; Billings, John; Lorenzo, Michael De; Sanderson, Colin

2011-11-22

To develop a formula for allocating resources for commissioning hospital care to all general practices in England based on the health needs of the people registered in each practice Multivariate prospective statistical models were developed in which routinely collected electronic information from 2005-6 and 2006-7 on individuals and the areas in which they lived was used to predict their costs of hospital care in the next year, 2007-8. Data on individuals included all diagnoses recorded at any inpatient admission. Models were developed on a random sample of 5 million people and validated on a second random sample of 5 million people and a third sample of 5 million people drawn from a random sample of practices. All general practices in England as of 1 April 2007. All NHS inpatient admissions and outpatient attendances for individuals registered with a general practice on that date. All individuals registered with a general practice in England at 1 April 2007. Power of the statistical models to predict the costs of the individual patient or each practice's registered population for 2007-8 tested with a range of metrics (R(2) reported here). Comparisons of predicted costs in 2007-8 with actual costs incurred in the same year were calculated by individual and by practice. Models including person level information (age, sex, and ICD-10 codes diagnostic recorded) and a range of area level information (such as socioeconomic deprivation and supply of health facilities) were most predictive of costs. After accounting for person level variables, area level variables added little explanatory power. The best models for resource allocation could predict upwards of 77% of the variation in costs at practice level, and about 12% at the person level. With these models, the predicted costs of about a third of practices would exceed or undershoot the actual costs by 10% or more. Smaller practices were more likely to be in these groups. A model was developed that performed well by international standards, and could be used for allocations to practices for commissioning. The best formulas, however, could predict only about 12% of the variation in next year's costs of most inpatient and outpatient NHS care for each individual. Person-based diagnostic data significantly added to the predictive power of the models.

Developing Statistical Physics Course Handout on Distribution Function Materials Based on Science, Technology, Engineering, and Mathematics

NASA Astrophysics Data System (ADS)

Riandry, M. A.; Ismet, I.; Akhsan, H.

2017-09-01

This study aims to produce a valid and practical statistical physics course handout on distribution function materials based on STEM. Rowntree development model is used to produce this handout. The model consists of three stages: planning, development and evaluation stages. In this study, the evaluation stage used Tessmer formative evaluation. It consists of 5 stages: self-evaluation, expert review, one-to-one evaluation, small group evaluation and field test stages. However, the handout is limited to be tested on validity and practicality aspects, so the field test stage is not implemented. The data collection technique used walkthroughs and questionnaires. Subjects of this study are students of 6th and 8th semester of academic year 2016/2017 Physics Education Study Program of Sriwijaya University. The average result of expert review is 87.31% (very valid category). One-to-one evaluation obtained the average result is 89.42%. The result of small group evaluation is 85.92%. From one-to-one and small group evaluation stages, averagestudent response to this handout is 87,67% (very practical category). Based on the results of the study, it can be concluded that the handout is valid and practical.

Teaching Research Methods and Statistics in eLearning Environments: Pedagogy, Practical Examples, and Possible Futures

PubMed Central

Rock, Adam J.; Coventry, William L.; Morgan, Methuen I.; Loi, Natasha M.

2016-01-01

Generally, academic psychologists are mindful of the fact that, for many students, the study of research methods and statistics is anxiety provoking (Gal et al., 1997). Given the ubiquitous and distributed nature of eLearning systems (Nof et al., 2015), teachers of research methods and statistics need to cultivate an understanding of how to effectively use eLearning tools to inspire psychology students to learn. Consequently, the aim of the present paper is to discuss critically how using eLearning systems might engage psychology students in research methods and statistics. First, we critically appraise definitions of eLearning. Second, we examine numerous important pedagogical principles associated with effectively teaching research methods and statistics using eLearning systems. Subsequently, we provide practical examples of our own eLearning-based class activities designed to engage psychology students to learn statistical concepts such as Factor Analysis and Discriminant Function Analysis. Finally, we discuss general trends in eLearning and possible futures that are pertinent to teachers of research methods and statistics in psychology. PMID:27014147

Teaching Research Methods and Statistics in eLearning Environments: Pedagogy, Practical Examples, and Possible Futures.

PubMed

Rock, Adam J; Coventry, William L; Morgan, Methuen I; Loi, Natasha M

2016-01-01

Generally, academic psychologists are mindful of the fact that, for many students, the study of research methods and statistics is anxiety provoking (Gal et al., 1997). Given the ubiquitous and distributed nature of eLearning systems (Nof et al., 2015), teachers of research methods and statistics need to cultivate an understanding of how to effectively use eLearning tools to inspire psychology students to learn. Consequently, the aim of the present paper is to discuss critically how using eLearning systems might engage psychology students in research methods and statistics. First, we critically appraise definitions of eLearning. Second, we examine numerous important pedagogical principles associated with effectively teaching research methods and statistics using eLearning systems. Subsequently, we provide practical examples of our own eLearning-based class activities designed to engage psychology students to learn statistical concepts such as Factor Analysis and Discriminant Function Analysis. Finally, we discuss general trends in eLearning and possible futures that are pertinent to teachers of research methods and statistics in psychology.

Israeli nurse practice environment characteristics, retention, and job satisfaction.

PubMed

Dekeyser Ganz, Freda; Toren, Orly

2014-02-24

There is an international nursing shortage. Improving the practice environment has been shown to be a successful strategy against this phenomenon, as the practice environment is associated with retention and job satisfaction. The Israeli nurse practice environment has not been measured. The purpose of this study was to measure practice environment characteristics, retention and job satisfaction and to evaluate the association between these variables. A demographic questionnaire, the Practice Environment Scale, and a Job Satisfaction Questionnaire were administered to Israeli acute and intensive care nurses working in 7 hospitals across the country. Retention was measured by intent to leave the organization and work experience. A convenience sample of registered nurses was obtained using a bi-phasic, stratified, cluster design. Data were collected based on the preferences of each unit, either distribution during various shifts or at staff meetings; or via staff mailboxes. Descriptive statistics were used to describe the sample and results of the questionnaires. Pearson Product Moment Correlations were used to determine significant associations among the variables. A multiple regression model was designed where the criterion variable was the practice environment. Analyses of variance determined differences between groups on nurse practice environment characteristics. 610 nurses reported moderate levels of practice environment characteristics, where the lowest scoring characteristic was 'appropriate staffing and resources'. Approximately 9% of the sample reported their intention to leave and the level of job satisfaction was high. A statistically significant, negative, weak correlation was found between intention to leave and practice environment characteristics, with a moderate correlation between job satisfaction and practice environment characteristics. 'Appropriate staffing and resources' was the only characteristic found to be statistically different based on hospital size and geographic region. This study supports the international nature of the vicious cycle that includes a poor quality practice environment, decreased job satisfaction and low nurse retention. Despite the extreme nursing shortage in Israel, perceptions of the practice environment were similar to other countries. Policy makers and hospital managers should address the practice environment, in order to improve job satisfaction and increase retention.

Medical students’ attitudes and perspectives regarding novel computer-based practical spot tests compared to traditional practical spot tests

PubMed Central

Wijerathne, Buddhika; Rathnayake, Geetha

2013-01-01

Background Most universities currently practice traditional practical spot tests to evaluate students. However, traditional methods have several disadvantages. Computer-based examination techniques are becoming more popular among medical educators worldwide. Therefore incorporating the computer interface in practical spot testing is a novel concept that may minimize the shortcomings of traditional methods. Assessing students’ attitudes and perspectives is vital in understanding how students perceive the novel method. Methods One hundred and sixty medical students were randomly allocated to either a computer-based spot test (n=80) or a traditional spot test (n=80). The students rated their attitudes and perspectives regarding the spot test method soon after the test. The results were described comparatively. Results Students had higher positive attitudes towards the computer-based practical spot test compared to the traditional spot test. Their recommendations to introduce the novel practical spot test method for future exams and to other universities were statistically significantly higher. Conclusions The computer-based practical spot test is viewed as more acceptable to students than the traditional spot test. PMID:26451213

Meaningful Statistics in Professional Practices as a Bridge between Mathematics and Science: An Evaluation of a Design Research Project

ERIC Educational Resources Information Center

Dierdorp, Adri; Bakker, Arthur; van Maanen, Jan A.; Eijkelhof, Harrie M. C.

2014-01-01

Background: Creating coherence between school subjects mathematics and science and making these school subjects meaningful are still topical challenges. This study investigates how students make meaningful connections between mathematics, statistics, science and applications when they engage in a specially developed unit that is based on…

From Research to Practice: Basic Mathematics Skills and Success in Introductory Statistics

ERIC Educational Resources Information Center

Lunsford, M. Leigh; Poplin, Phillip

2011-01-01

Based on previous research of Johnson and Kuennen (2006), we conducted a study to determine factors that would possibly predict student success in an introductory statistics course. Our results were similar to Johnson and Kuennen in that we found students' basic mathematical skills, as measured on a test created by Johnson and Kuennen, were a…

Web-based Learning Environments Guided by Principles of Good Teaching Practice.

ERIC Educational Resources Information Center

Chizmar, John F.; Walbert, Mark S.

1999-01-01

Describes the preparation and execution of a statistics course, an undergraduate econometrics course, and a microeconomic theory course that all utilize Internet technology. Reviews seven principles of teaching practice in order to demonstrate how to enhance the quality of student learning using Web technologies. Includes reactions by Steve Hurd…

Preparing Occupational Therapy Students to Address Mental Health Promotion, Prevention, and Intervention in School-Based Practice

ERIC Educational Resources Information Center

Blackwell, Cindy DeRuiter; Bilics, Andrea

2018-01-01

Directors of entry-level occupational therapy (OT) programs were surveyed regarding how their programs prepare students to become mental health practitioners in schools. Analysis of quantitative data included descriptive statistics to examine participants' ratings of their program's ability to prepare students for mental health practice. We found…

Embedding Evidence-based Practice Education into a Post-graduate Physiotherapy Program: Eight Years of pre-Post Course Evaluations.

PubMed

Perraton, L; Machotka, Z; Grimmer, K; Gibbs, C; Mahar, C; Kennedy, K

2017-04-01

Little has been published about the effectiveness of training postgraduate physiotherapy coursework students in research methods and evidence-based practice (EBP) theory. Graduate qualities in most universities include lifelong learning. Inclusion of EBP in post-graduate coursework students' training is one way for students to develop the knowledge and skills needed to implement current best evidence in their clinical practice after graduation, thereby facilitating lifelong learning. This paper reports on change in confidence and anxiety in knowledge of statistical terminology and concepts related to research design and EBP in eight consecutive years of post-graduate physiotherapy students at one Australian university. Pre-survey/post-survey instruments were administered to students in an intensive 3-week post-graduate course, which taught health research methods, biostatistics and EBP. This course was embedded into a post-graduate physiotherapy programme from 2007 to 2014. The organization and delivery of the course was based on best pedagogical evidence for effectively teaching adult physiotherapists. The course was first delivered each year in the programme, and no other course was delivered concurrently. There were significant improvements in confidence, significantly decreased anxiety and improvements in knowledge of statistical terminology and concepts related to research design and EBP, at course completion. Age, gender and country of origin were not confounders on learning outcomes, although there was a (non-significant) trend that years of practice negatively impacted on learning outcomes (p = 0.09). There was a greater improvement in confidence in statistical terminology than in concepts related to research design and EBP. An intensive teaching programme in health research methods and biostatistics and EBP, based on best practice adult physiotherapy learning principles, is effective immediately post-course, in decreasing anxiety and increasing confidence in the terminology used in research methods and EBP. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

The Computer Student Worksheet Based Mathematical Literacy for Statistics

NASA Astrophysics Data System (ADS)

Manoy, J. T.; Indarasati, N. A.

2018-01-01

The student worksheet is one of media teaching which is able to improve teaching an activity in the classroom. Indicators in mathematical literacy were included in a student worksheet is able to help the students for applying the concept in daily life. Then, the use of computers in learning can create learning with environment-friendly. This research used developmental research which was Thiagarajan (Four-D) development design. There are 4 stages in the Four-D, define, design, develop, and disseminate. However, this research was finish until the third stage, develop stage. The computer student worksheet based mathematical literacy for statistics executed good quality. This student worksheet is achieving the criteria if able to achieve three aspects, validity, practicality, and effectiveness. The subject in this research was the students at The 1st State Senior High School of Driyorejo, Gresik, grade eleven of The 5th Mathematics and Natural Sciences. The computer student worksheet products based mathematical literacy for statistics executed good quality, while it achieved the aspects for validity, practical, and effectiveness. This student worksheet achieved the validity aspects with an average of 3.79 (94.72%), and practical aspects with an average of 2.85 (71.43%). Besides, it achieved the effectiveness aspects with a percentage of the classical complete students of 94.74% and a percentage of the student positive response of 75%.

Systematic review of practice guideline dissemination and implementation strategies for healthcare teams and team-based practice.

PubMed

Medves, Jennifer; Godfrey, Christina; Turner, Carly; Paterson, Margo; Harrison, Margaret; MacKenzie, Lindsay; Durando, Paola

2010-06-01

To synthesis the literature relevant to guideline dissemination and implementation strategies for healthcare teams and team-based practice. Systematic approach utilising Joanna Briggs Institute methods. Two reviewers screened all articles and where there was disagreement, a third reviewer determined inclusion. Initial search revealed 12,083 of which 88 met the inclusion criteria. Ten dissemination and implementation strategies identified with distribution of educational materials the most common. Studies were assessed for patient or practitioner outcomes and changes in practice, knowledge and economic outcomes. A descriptive analysis revealed multiple approaches using teams of healthcare providers were reported to have statistically significant results in knowledge, practice and/or outcomes for 72.7% of the studies. Team-based care using practice guidelines locally adapted can affect positively patient and provider outcomes. © 2010 The Authors. Journal Compilation © Blackwell Publishing Asia Pty Ltd.

Proceedings for the Annual Symposium and Exhibition on Situational Awareness in the Tactical Air Environment, (2nd), Held at Patuxent River, Maryland, on 3-4 June 1997

DTIC Science & Technology

1997-06-01

made based on a learning mechanism. Traditional statistical regression and neural network approaches offer some utility, but suffer from practical...Columbus, OH. Kraiger, K., Ford, J. K., & Salas, E. (1993). Application of cognitive, skill- based , and affective theories of learning outcomes to new...and Feature Effects 151 Enhanced Spatial State Feedback for Night Vision Goggle Displays 159 Statistical Network Applications of Decision Aiding for

Practice expenses in the MFS (Medicare fee schedule): the service-class approach.

PubMed

Latimer, E A; Kane, N M

1995-01-01

The practice expense component of the Medicare fee schedule (MFS), which is currently based on historical charges and rewards physician procedures at the expense of cognitive services, is due to be changed by January 1, 1998. The Physician Payment Review Commission (PPRC) and others have proposed microcosting direct costs and allocating all indirect costs on a common basis, such as physician time or work plus direct costs. Without altering the treatment of direct costs, the service-class approach disaggregates indirect costs into six practice function costs. The practice function costs are then allocated to classes of services using cost-accounting and statistical methods. This approach would make the practice expense component more resource-based than other proposed alternatives.

Multiple-Point statistics for stochastic modeling of aquifers, where do we stand?

NASA Astrophysics Data System (ADS)

Renard, P.; Julien, S.

2017-12-01

In the last 20 years, multiple-point statistics have been a focus of much research, successes and disappointments. The aim of this geostatistical approach was to integrate geological information into stochastic models of aquifer heterogeneity to better represent the connectivity of high or low permeability structures in the underground. Many different algorithms (ENESIM, SNESIM, SIMPAT, CCSIM, QUILTING, IMPALA, DEESSE, FILTERSIM, HYPPS, etc.) have been and are still proposed. They are all based on the concept of a training data set from which spatial statistics are derived and used in a further step to generate conditional realizations. Some of these algorithms evaluate the statistics of the spatial patterns for every pixel, other techniques consider the statistics at the scale of a patch or a tile. While the method clearly succeeded in enabling modelers to generate realistic models, several issues are still the topic of debate both from a practical and theoretical point of view, and some issues such as training data set availability are often hindering the application of the method in practical situations. In this talk, the aim is to present a review of the status of these approaches both from a theoretical and practical point of view using several examples at different scales (from pore network to regional aquifer).

Quantum and classical noise in practical quantum-cryptography systems based on polarization-entangled photons

DOE Office of Scientific and Technical Information (OSTI.GOV)

Castelletto, S.; Degiovanni, I.P.; Rastello, M.L.

2003-02-01

Quantum-cryptography key distribution (QCKD) experiments have been recently reported using polarization-entangled photons. However, in any practical realization, quantum systems suffer from either unwanted or induced interactions with the environment and the quantum measurement system, showing up as quantum and, ultimately, statistical noise. In this paper, we investigate how an ideal polarization entanglement in spontaneous parametric down-conversion (SPDC) suffers quantum noise in its practical implementation as a secure quantum system, yielding errors in the transmitted bit sequence. Since all SPDC-based QCKD schemes rely on the measurement of coincidence to assert the bit transmission between the two parties, we bundle up themore » overall quantum and statistical noise in an exhaustive model to calculate the accidental coincidences. This model predicts the quantum-bit error rate and the sifted key and allows comparisons between different security criteria of the hitherto proposed QCKD protocols, resulting in an objective assessment of performances and advantages of different systems.« less

Data to inform a social media component for professional development and practices: A design-based research study.

PubMed

Novakovich, Jeanette; Shaw, Steven; Miah, Sophia

2017-02-01

This DIB article includes the course artefacts, instruments, survey data, and descriptive statistics, along with in-depth correlational analysis for the first iteration of a design-based research study on designing curriculum for developing online professional identity and social media practices for a multi-major advanced professional writing course. Raw data was entered into SPSS software. For interpretation and discussion, please see the original article entitled, "Designing curriculum to shape professional social media skills and identity in virtual communities of practice" (J. Novakovich, S. Miah, S. Shaw, 2017) [1].

Divergent Trends in Abortion and Birth Control Practices in Belarus, Russia and Ukraine

PubMed Central

Denisov, Boris P.; Sakevich, Victoria I.; Jasilioniene, Aiva

2012-01-01

Context The last decade witnessed growing differences in abortion dynamics in Belarus, Russia, and Ukraine despite demographic, social, and historical similarities of these nations. This paper investigates changes in birth control practices in the three countries and searches for an explanation of the diverging trends in abortion. Methods Official abortion and contraceptive use statistics, provided by national statistical agencies, were analysed. Respective laws and other legal documents were examined and compared between the three countries. To disclose inter-country differences in prevalence of the modern methods of contraception and its association with major demographic and social factors, an analysis of data from national sample surveys was performed, including binary logistic regression. Results The growing gap in abortion rate in Belarus, Russia, and Ukraine is a genuine phenomenon, not a statistical artefact. The examination of abortion and prevalence of contraception based on official statistics and three national sample surveys did not reveal any unambiguous factors that could explain differences in abortion dynamics in Belarus, Russia, and Ukraine. However, it is very likely that the cause of the inter-country discrepancies lies in contraceptive behavior itself, in adequacies of contraceptive knowledge and practices. Additionally, large differences in government policies, which are very important in shaping contraceptive practices of the population, were detected. Conclusion Since the end of the 1990s, the Russian government switched to archaic ideology in the area of reproductive health and family planning and neglects evidence-based arguments. Such an extreme turn in the governmental position is not observed in Belarus or Ukraine. This is an important factor contributing to the slowdown in the decrease of abortion rates in Russia. PMID:23349656

On P values and effect modification.

PubMed

Mayer, Martin

2017-12-01

A crucial element of evidence-based healthcare is the sound understanding and use of statistics. As part of instilling sound statistical knowledge and practice, it seems useful to highlight instances of unsound statistical reasoning or practice, not merely in captious or vitriolic spirit, but rather, to use such error as a springboard for edification by giving tangibility to the concepts at hand and highlighting the importance of avoiding such error. This article aims to provide an instructive overview of two key statistical concepts: effect modification and P values. A recent article published in the Journal of the American College of Cardiology on side effects related to statin therapy offers a notable example of errors in understanding effect modification and P values, and although not so critical as to entirely invalidate the article, the errors still demand considerable scrutiny and correction. In doing so, this article serves as an instructive overview of the statistical concepts of effect modification and P values. Judicious handling of statistics is imperative to avoid muddying their utility. This article contributes to the body of literature aiming to improve the use of statistics, which in turn will help facilitate evidence appraisal, synthesis, translation, and application.

Bayesian networks and statistical analysis application to analyze the diagnostic test accuracy

NASA Astrophysics Data System (ADS)

Orzechowski, P.; Makal, Jaroslaw; Onisko, A.

2005-02-01

The computer aided BPH diagnosis system based on Bayesian network is described in the paper. First result are compared to a given statistical method. Different statistical methods are used successfully in medicine for years. However, the undoubted advantages of probabilistic methods make them useful in application in newly created systems which are frequent in medicine, but do not have full and competent knowledge. The article presents advantages of the computer aided BPH diagnosis system in clinical practice for urologists.

How to teach evidence-based medicine to urologists

PubMed Central

Hajebrahimi, Sakineh; Mostafaie, Ali

2011-01-01

The goal of this article is to help develop, disseminate, and evaluate resources that can be used to practice and teach EBM for urology residents and continuing education of urologists to reduce the gap between research and clinical practice. Urology departments should build capacity for residents to shape the future of quality and safety in healthcare through translating evidence into practice. Cutting edge approaches require knowing how to teach Evidence-based urology, to make Bio-statistics easy to understanding and how to lead improvement at every level. The authors shared their experience about ‘what works’ in a surgical department to building an Evidence-based environment and high quality of cares. PMID:22279316

Jordanian twelfth-grade science teachers' self-reported usage of science and engineering practices in the next generation science standards

NASA Astrophysics Data System (ADS)

Malkawi, Amal Reda; Rababah, Ebtesam Qassim

2018-06-01

This study investigated the degree that Science and Engineering Practices (SEPs) criteria from the Next Generation Science Standards (NGSS) were included in self-reported teaching practices of twelfth-grade science teachers in Jordan. This study sampled (n = 315) science teachers recruited from eight different public school directorates. The sample was surveyed using an instrument adapted from Kawasaki (2015). Results found that Jordanian science teachers incorporate (SEPs) in their classroom teaching at only a moderate level. SEPs applied most frequently included 'using the diagram, table or graphic through instructions to clarify the subject of a new science,' and to 'discuss with the students how to interpret the quantitative data from the experiment or investigation'. The practice with the lowest frequency was 'teach a lesson on interpreting statistics or quantitative data,' which was moderately applied. No statistically significant differences at (α = 0.05) were found among these Jordanian science teachers' self-estimations of (SEP) application into their own teaching according to the study's demographic variables (specialisation, educational qualification, teaching experience). However, a statistically significant difference at (α = 0.05) was found among Jordanian high school science teachers' practice means based on gender, with female teachers using SEPs at a higher rate than male teachers.

Realistic thermodynamic and statistical-mechanical measures for neural synchronization.

PubMed

Kim, Sang-Yoon; Lim, Woochang

2014-04-15

Synchronized brain rhythms, associated with diverse cognitive functions, have been observed in electrical recordings of brain activity. Neural synchronization may be well described by using the population-averaged global potential VG in computational neuroscience. The time-averaged fluctuation of VG plays the role of a "thermodynamic" order parameter O used for describing the synchrony-asynchrony transition in neural systems. Population spike synchronization may be well visualized in the raster plot of neural spikes. The degree of neural synchronization seen in the raster plot is well measured in terms of a "statistical-mechanical" spike-based measure Ms introduced by considering the occupation and the pacing patterns of spikes. The global potential VG is also used to give a reference global cycle for the calculation of Ms. Hence, VG becomes an important collective quantity because it is associated with calculation of both O and Ms. However, it is practically difficult to directly get VG in real experiments. To overcome this difficulty, instead of VG, we employ the instantaneous population spike rate (IPSR) which can be obtained in experiments, and develop realistic thermodynamic and statistical-mechanical measures, based on IPSR, to make practical characterization of the neural synchronization in both computational and experimental neuroscience. Particularly, more accurate characterization of weak sparse spike synchronization can be achieved in terms of realistic statistical-mechanical IPSR-based measure, in comparison with the conventional measure based on VG. Copyright © 2014. Published by Elsevier B.V.

A person based formula for allocating commissioning funds to general practices in England: development of a statistical model

PubMed Central

Smith, Peter; Gravelle, Hugh; Martin, Steve; Bardsley, Martin; Rice, Nigel; Georghiou, Theo; Dusheiko, Mark; Billings, John; Lorenzo, Michael De; Sanderson, Colin

2011-01-01

Objectives To develop a formula for allocating resources for commissioning hospital care to all general practices in England based on the health needs of the people registered in each practice Design Multivariate prospective statistical models were developed in which routinely collected electronic information from 2005-6 and 2006-7 on individuals and the areas in which they lived was used to predict their costs of hospital care in the next year, 2007-8. Data on individuals included all diagnoses recorded at any inpatient admission. Models were developed on a random sample of 5 million people and validated on a second random sample of 5 million people and a third sample of 5 million people drawn from a random sample of practices. Setting All general practices in England as of 1 April 2007. All NHS inpatient admissions and outpatient attendances for individuals registered with a general practice on that date. Subjects All individuals registered with a general practice in England at 1 April 2007. Main outcome measures Power of the statistical models to predict the costs of the individual patient or each practice’s registered population for 2007-8 tested with a range of metrics (R2 reported here). Comparisons of predicted costs in 2007-8 with actual costs incurred in the same year were calculated by individual and by practice. Results Models including person level information (age, sex, and ICD-10 codes diagnostic recorded) and a range of area level information (such as socioeconomic deprivation and supply of health facilities) were most predictive of costs. After accounting for person level variables, area level variables added little explanatory power. The best models for resource allocation could predict upwards of 77% of the variation in costs at practice level, and about 12% at the person level. With these models, the predicted costs of about a third of practices would exceed or undershoot the actual costs by 10% or more. Smaller practices were more likely to be in these groups. Conclusions A model was developed that performed well by international standards, and could be used for allocations to practices for commissioning. The best formulas, however, could predict only about 12% of the variation in next year’s costs of most inpatient and outpatient NHS care for each individual. Person-based diagnostic data significantly added to the predictive power of the models. PMID:22110252

Using Statistical Process Control to Drive Improvement in Neonatal Care: A Practical Introduction to Control Charts.

PubMed

Gupta, Munish; Kaplan, Heather C

2017-09-01

Quality improvement (QI) is based on measuring performance over time, and variation in data measured over time must be understood to guide change and make optimal improvements. Common cause variation is natural variation owing to factors inherent to any process; special cause variation is unnatural variation owing to external factors. Statistical process control methods, and particularly control charts, are robust tools for understanding data over time and identifying common and special cause variation. This review provides a practical introduction to the use of control charts in health care QI, with a focus on neonatology. Copyright © 2017 Elsevier Inc. All rights reserved.

AGENT-BASED MODELS IN EMPIRICAL SOCIAL RESEARCH*

PubMed Central

Bruch, Elizabeth; Atwell, Jon

2014-01-01

Agent-based modeling has become increasingly popular in recent years, but there is still no codified set of recommendations or practices for how to use these models within a program of empirical research. This article provides ideas and practical guidelines drawn from sociology, biology, computer science, epidemiology, and statistics. We first discuss the motivations for using agent-based models in both basic science and policy-oriented social research. Next, we provide an overview of methods and strategies for incorporating data on behavior and populations into agent-based models, and review techniques for validating and testing the sensitivity of agent-based models. We close with suggested directions for future research. PMID:25983351

Evidence based practice beliefs and implementation among nurses: a cross-sectional study

PubMed Central

2014-01-01

Background Having a positive attitude towards evidence-based practice and being able to see the value of evidence-based practice for patients have been reported as important for the implementation of evidence-based practice among nurses. The aim of this study was to map self-reported beliefs towards EBP and EBP implementation among nurses, and to investigate whether there was a positive correlation between EBP beliefs and EBP implementation. Method We carried out a cross-sectional study among 356 nurses at a specialist hospital for the treatment of cancer in Norway. The Norwegian translations of the Evidence-based Practice Belief Scale and the Evidence-based Practice Implementation Scale were used. Results In total, 185 nurses participated in the study (response rate 52%). The results showed that nurses were positive towards evidence-based practice, but only practised it to a small extent. There was a positive correlation (r) between beliefs towards evidence-based practice and implementation of evidence-based practice (r = 0.59, p = 0.001). There was a statistical significant positive, but moderate correlation between all the four subscales of the EBP Beliefs Scale (beliefs related to: 1) knowledge, 2) resources, 3) the value of EBP and 4) difficulty and time) and the EBP Implementation Scale, with the highest correlation observed for beliefs related to knowledge (r = 0.38, p < .0001). Participants who had learned about evidence-based practice had significantly higher scores on the Evidence-based Practice Belief Scale than participants who were unfamiliar with evidence-based practice. Those involved in evidence-based practice working groups also reported significantly higher scores on the Evidence-based Practice Belief Scale than participants not involved in these groups. Conclusion This study shows that nurses have a positive attitude towards evidence-based practice, but practise it to a lesser extent. There was a positive correlation between beliefs about evidence-based practice and implementation of evidence-based practice. Beliefs related to knowledge appear to have the greatest effect on implementation of evidence-based practice. Having knowledge and taking part in evidence-based practice working groups seem important. PMID:24661602

Undergraduate medical students’ perceptions, attitudes, and competencies in evidence-based medicine (EBM), and their understanding of EBM reality in Syria

PubMed Central

2012-01-01

Background Teaching evidence-based medicine (EBM) should be evaluated and guided by evidence of its own effectiveness. However, no data are available on adoption of EBM by Syrian undergraduate, postgraduate, or practicing physicians. In fact, the teaching of EBM in Syria is not yet a part of undergraduate medical curricula. The authors evaluated education of evidence-based medicine through a two-day intensive training course. Methods The authors evaluated education of evidence-based medicine through a two-day intensive training course that took place in 2011. The course included didactic lectures as well as interactive hands-on workshops on all topics of EBM. A comprehensive questionnaire, that included the Berlin questionnaire, was used to inspect medical students’ awareness of, attitudes toward, and competencies’ in EBM. Results According to students, problems facing proper EBM practice in Syria were the absence of the following: an EBM teaching module in medical school curriculum (94%), role models among professors and instructors (92%), a librarian (70%), institutional subscription to medical journals (94%), and sufficient IT hardware (58%). After the course, there was a statistically significant increase in medical students' perceived ability to go through steps of EBM, namely: formulating PICO questions (56.9%), searching for evidence (39.8%), appraising the evidence (27.3%), understanding statistics (48%), and applying evidence at point of care (34.1%). However, mean increase in Berlin scores after the course was 2.68, a non-statistically significant increase of 17.86%. Conclusion The road to a better EBM reality in Syria starts with teaching EBM in medical school and developing the proper environment to facilitate transforming current medical education and practice to an evidence-based standard in Syria. PMID:22882872

Undergraduate medical students' perceptions, attitudes, and competencies in evidence-based medicine (EBM), and their understanding of EBM reality in Syria.

PubMed

Alahdab, Fares; Firwana, Belal; Hasan, Rim; Sonbol, Mohamad Bassam; Fares, Munes; Alnahhas, Iyad; Sabouni, Ammar; Ferwana, Mazen

2012-08-12

Teaching evidence-based medicine (EBM) should be evaluated and guided by evidence of its own effectiveness. However, no data are available on adoption of EBM by Syrian undergraduate, postgraduate, or practicing physicians. In fact, the teaching of EBM in Syria is not yet a part of undergraduate medical curricula. The authors evaluated education of evidence-based medicine through a two-day intensive training course. The authors evaluated education of evidence-based medicine through a two-day intensive training course that took place in 2011. The course included didactic lectures as well as interactive hands-on workshops on all topics of EBM. A comprehensive questionnaire, that included the Berlin questionnaire, was used to inspect medical students' awareness of, attitudes toward, and competencies' in EBM. According to students, problems facing proper EBM practice in Syria were the absence of the following: an EBM teaching module in medical school curriculum (94%), role models among professors and instructors (92%), a librarian (70%), institutional subscription to medical journals (94%), and sufficient IT hardware (58%). After the course, there was a statistically significant increase in medical students' perceived ability to go through steps of EBM, namely: formulating PICO questions (56.9%), searching for evidence (39.8%), appraising the evidence (27.3%), understanding statistics (48%), and applying evidence at point of care (34.1%). However, mean increase in Berlin scores after the course was 2.68, a non-statistically significant increase of 17.86%. The road to a better EBM reality in Syria starts with teaching EBM in medical school and developing the proper environment to facilitate transforming current medical education and practice to an evidence-based standard in Syria.

The characteristics of general practice and the attractiveness of working as a GP: medical students' views.

PubMed

Landstrom, Bjorn; Mattsson, Bengt; Nordin, Per; Rudebeck, Carl E

2014-03-15

The aim of the study was to investigate medical students' views on general practice based on their experiences in training, and to find out whether there were certain views associated with the intention to become a GP. A questionnaire, based on our earlier studies about GP working behaviour, was handed out to medical students in terms 1, 3, 5, 7, 10 and 11 of undergraduate studies in Gothenburg, Sweden. The analysis comprised statistical descriptions and comparisons. The students regarded general practice positively. They found the work environment good, the GP's awareness of patients' living conditions necessary, and that GP work requires medical breadth. The status of the GP in the medical profession was not considered high. One-fourth of the students strongly agreed with the possibility of a future as a GP. This attitude was statistically associated with support to the statements that general practice offers a good work environment and should be a major component in undergraduate training. Students with a negative attitude to working as GPs were also negative to having a major component of general practice in undergraduate training. Medical students with a positive stated attitude towards becoming GPs support changes in undergraduate training to include more general practice. The risk of increasing a negative attitude should be considered when changes are discussed.

Agriculture, population growth, and statistical analysis of the radiocarbon record.

PubMed

Zahid, H Jabran; Robinson, Erick; Kelly, Robert L

2016-01-26

The human population has grown significantly since the onset of the Holocene about 12,000 y ago. Despite decades of research, the factors determining prehistoric population growth remain uncertain. Here, we examine measurements of the rate of growth of the prehistoric human population based on statistical analysis of the radiocarbon record. We find that, during most of the Holocene, human populations worldwide grew at a long-term annual rate of 0.04%. Statistical analysis of the radiocarbon record shows that transitioning farming societies experienced the same rate of growth as contemporaneous foraging societies. The same rate of growth measured for populations dwelling in a range of environments and practicing a variety of subsistence strategies suggests that the global climate and/or endogenous biological factors, not adaptability to local environment or subsistence practices, regulated the long-term growth of the human population during most of the Holocene. Our results demonstrate that statistical analyses of large ensembles of radiocarbon dates are robust and valuable for quantitatively investigating the demography of prehistoric human populations worldwide.

The new statistics: why and how.

PubMed

Cumming, Geoff

2014-01-01

We need to make substantial changes to how we conduct research. First, in response to heightened concern that our published research literature is incomplete and untrustworthy, we need new requirements to ensure research integrity. These include prespecification of studies whenever possible, avoidance of selection and other inappropriate data-analytic practices, complete reporting, and encouragement of replication. Second, in response to renewed recognition of the severe flaws of null-hypothesis significance testing (NHST), we need to shift from reliance on NHST to estimation and other preferred techniques. The new statistics refers to recommended practices, including estimation based on effect sizes, confidence intervals, and meta-analysis. The techniques are not new, but adopting them widely would be new for many researchers, as well as highly beneficial. This article explains why the new statistics are important and offers guidance for their use. It describes an eight-step new-statistics strategy for research with integrity, which starts with formulation of research questions in estimation terms, has no place for NHST, and is aimed at building a cumulative quantitative discipline.

Practical steganalysis of digital images: state of the art

NASA Astrophysics Data System (ADS)

Fridrich, Jessica; Goljan, Miroslav

2002-04-01

Steganography is the art of hiding the very presence of communication by embedding secret messages into innocuous looking cover documents, such as digital images. Detection of steganography, estimation of message length, and its extraction belong to the field of steganalysis. Steganalysis has recently received a great deal of attention both from law enforcement and the media. In our paper, we classify and review current stego-detection algorithms that can be used to trace popular steganographic products. We recognize several qualitatively different approaches to practical steganalysis - visual detection, detection based on first order statistics (histogram analysis), dual statistics methods that use spatial correlations in images and higher-order statistics (RS steganalysis), universal blind detection schemes, and special cases, such as JPEG compatibility steganalysis. We also present some new results regarding our previously proposed detection of LSB embedding using sensitive dual statistics. The recent steganalytic methods indicate that the most common paradigm in image steganography - the bit-replacement or bit substitution - is inherently insecure with safe capacities far smaller than previously thought.

Standard Errors and Confidence Intervals of Norm Statistics for Educational and Psychological Tests.

PubMed

Oosterhuis, Hannah E M; van der Ark, L Andries; Sijtsma, Klaas

2016-11-14

Norm statistics allow for the interpretation of scores on psychological and educational tests, by relating the test score of an individual test taker to the test scores of individuals belonging to the same gender, age, or education groups, et cetera. Given the uncertainty due to sampling error, one would expect researchers to report standard errors for norm statistics. In practice, standard errors are seldom reported; they are either unavailable or derived under strong distributional assumptions that may not be realistic for test scores. We derived standard errors for four norm statistics (standard deviation, percentile ranks, stanine boundaries and Z-scores) under the mild assumption that the test scores are multinomially distributed. A simulation study showed that the standard errors were unbiased and that corresponding Wald-based confidence intervals had good coverage. Finally, we discuss the possibilities for applying the standard errors in practical test use in education and psychology. The procedure is provided via the R function check.norms, which is available in the mokken package.

Practical applications of the geographic coordinate data base in Arkansas

Treesearch

Mickie Warwick; Don C. Bragg

2005-01-01

Though not intended for these applications, the General Land Office (GLO) survey notes are a primary source of historical, ecological, and cultural information, making it imperative that their spatial coordinates be as reliable as possible. The Geographic Coordinate Data Base (GCDB) is a statistically-based coordinate fitting program that uses the GLO notes and other...

Comparison of effectiveness of class lecture versus workshop-based teaching of basic life support on acquiring practice skills among the health care providers

PubMed Central

Karim, Habib Md. Reazaul; Yunus, Md.; Bhattacharyya, Prithwis; Ahmed, Ghazal

2016-01-01

Background: Basic life support (BLS) is an integral part of emergency medical care. Studies have shown poor knowledge of it among health care providers who are usually taught BLS by lecture-based teachings in classes. Objectives: This study is designed to assess the effectiveness of class lecture versus workshop-based teaching of BLS on acquiring the practice skills on mannequin. Methods: After ethical approval and informed consent from the participants, the present study was conducted among the health care providers. Participants were grouped in lecture-based class teaching and workshop-based teaching. They were then asked to practice BLS on mannequin (Resusci Anne with QCPR) and evaluated as per performance parameters based on American Heart Association BLS. Statistical analyses are done by Fisher's exact t-test using GraphPad INSTAT software and P < 0.05 is taken as significant. Results: There were 55 participants in lecture-based teaching and 50 in workshop-based teaching group. There is no statistical difference in recognition of arrest, checking pulse, and starting chest compression (P > 0.05). Though more than 83% of lecture-based teaching group has started chest compression as compared 96% of workshop group; only 49% of the participants of lecture-based group performed quality chest compression as compared to 82% of other group (P = 0.0005). The workshop group also performed better bag mask ventilation and defibrillation (P < 0.0001). Conclusion: Workshop-based BLS teaching is more effective and lecture-based class teaching better is replaced in medical education curriculum. PMID:27308252

Comparison of effectiveness of class lecture versus workshop-based teaching of basic life support on acquiring practice skills among the health care providers.

PubMed

Karim, Habib Md Reazaul; Yunus, Md; Bhattacharyya, Prithwis; Ahmed, Ghazal

2016-01-01

Basic life support (BLS) is an integral part of emergency medical care. Studies have shown poor knowledge of it among health care providers who are usually taught BLS by lecture-based teachings in classes. This study is designed to assess the effectiveness of class lecture versus workshop-based teaching of BLS on acquiring the practice skills on mannequin. After ethical approval and informed consent from the participants, the present study was conducted among the health care providers. Participants were grouped in lecture-based class teaching and workshop-based teaching. They were then asked to practice BLS on mannequin (Resusci Anne with QCPR) and evaluated as per performance parameters based on American Heart Association BLS. Statistical analyses are done by Fisher's exact t-test using GraphPad INSTAT software and P < 0.05 is taken as significant. There were 55 participants in lecture-based teaching and 50 in workshop-based teaching group. There is no statistical difference in recognition of arrest, checking pulse, and starting chest compression (P > 0.05). Though more than 83% of lecture-based teaching group has started chest compression as compared 96% of workshop group; only 49% of the participants of lecture-based group performed quality chest compression as compared to 82% of other group (P = 0.0005). The workshop group also performed better bag mask ventilation and defibrillation (P < 0.0001). Workshop-based BLS teaching is more effective and lecture-based class teaching better is replaced in medical education curriculum.

A survey of statistics in three UK general practice journal

PubMed Central

Rigby, Alan S; Armstrong, Gillian K; Campbell, Michael J; Summerton, Nick

2004-01-01

Background Many medical specialities have reviewed the statistical content of their journals. To our knowledge this has not been done in general practice. Given the main role of a general practitioner as a diagnostician we thought it would be of interest to see whether the statistical methods reported reflect the diagnostic process. Methods Hand search of three UK journals of general practice namely the British Medical Journal (general practice section), British Journal of General Practice and Family Practice over a one-year period (1 January to 31 December 2000). Results A wide variety of statistical techniques were used. The most common methods included t-tests and Chi-squared tests. There were few articles reporting likelihood ratios and other useful diagnostic methods. There was evidence that the journals with the more thorough statistical review process reported a more complex and wider variety of statistical techniques. Conclusions The BMJ had a wider range and greater diversity of statistical methods than the other two journals. However, in all three journals there was a dearth of papers reflecting the diagnostic process. Across all three journals there were relatively few papers describing randomised controlled trials thus recognising the difficulty of implementing this design in general practice. PMID:15596014

An Update on Statistical Boosting in Biomedicine.

PubMed

Mayr, Andreas; Hofner, Benjamin; Waldmann, Elisabeth; Hepp, Tobias; Meyer, Sebastian; Gefeller, Olaf

2017-01-01

Statistical boosting algorithms have triggered a lot of research during the last decade. They combine a powerful machine learning approach with classical statistical modelling, offering various practical advantages like automated variable selection and implicit regularization of effect estimates. They are extremely flexible, as the underlying base-learners (regression functions defining the type of effect for the explanatory variables) can be combined with any kind of loss function (target function to be optimized, defining the type of regression setting). In this review article, we highlight the most recent methodological developments on statistical boosting regarding variable selection, functional regression, and advanced time-to-event modelling. Additionally, we provide a short overview on relevant applications of statistical boosting in biomedicine.

Traditional Practices of Mothers in the Postpartum Period: Evidence from Turkey.

PubMed

Altuntuğ, Kamile; Anık, Yeşim; Ege, Emel

2018-03-01

In various cultures, the postpartum period is a sensitive time and various traditional practices are applied to protect the health of the mother and the baby. The aim of this study was to determine traditional practices of mother care in the postpartum period in Konya City of Turkey. The research was a descriptive, cross-sectional study carried out among 291 women at the first 8 weeks of postpartum period who visited to family health centers from June 1 to December 1, 2015. The data were collected using questionnaires. Statistical analysis of the data was done with SSPS version 22.0. Descriptive statistics were used to analyze the data. Based on the results, 84.5% of women applied a traditional mother care practice during the postpartum period. The most popular, were practices for increasing of breast milk (97.9%), preventing incubus "albasması" (81.8%), getting rid of incubus (74.9%), and preventing postpartum bleeding (14.1%).The findings of the study show that traditional practices towards mother care in the period after birth are common. In order to provide better health services, it is important for health professionals to understand the traditional beliefs and practices of the individuals, families, and society that they serve.

Understanding quantitative research: part 1.

PubMed

Hoe, Juanita; Hoare, Zoë

This article, which is the first in a two-part series, provides an introduction to understanding quantitative research, basic statistics and terminology used in research articles. Critical appraisal of research articles is essential to ensure that nurses remain up to date with evidence-based practice to provide consistent and high-quality nursing care. This article focuses on developing critical appraisal skills and understanding the use and implications of different quantitative approaches to research. Part two of this article will focus on explaining common statistical terms and the presentation of statistical data in quantitative research.

A practical Bayesian stepped wedge design for community-based cluster-randomized clinical trials: The British Columbia Telehealth Trial.

PubMed

Cunanan, Kristen M; Carlin, Bradley P; Peterson, Kevin A

2016-12-01

Many clinical trial designs are impractical for community-based clinical intervention trials. Stepped wedge trial designs provide practical advantages, but few descriptions exist of their clinical implementational features, statistical design efficiencies, and limitations. Enhance efficiency of stepped wedge trial designs by evaluating the impact of design characteristics on statistical power for the British Columbia Telehealth Trial. The British Columbia Telehealth Trial is a community-based, cluster-randomized, controlled clinical trial in rural and urban British Columbia. To determine the effect of an Internet-based telehealth intervention on healthcare utilization, 1000 subjects with an existing diagnosis of congestive heart failure or type 2 diabetes will be enrolled from 50 clinical practices. Hospital utilization is measured using a composite of disease-specific hospital admissions and emergency visits. The intervention comprises online telehealth data collection and counseling provided to support a disease-specific action plan developed by the primary care provider. The planned intervention is sequentially introduced across all participating practices. We adopt a fully Bayesian, Markov chain Monte Carlo-driven statistical approach, wherein we use simulation to determine the effect of cluster size, sample size, and crossover interval choice on type I error and power to evaluate differences in hospital utilization. For our Bayesian stepped wedge trial design, simulations suggest moderate decreases in power when crossover intervals from control to intervention are reduced from every 3 to 2 weeks, and dramatic decreases in power as the numbers of clusters decrease. Power and type I error performance were not notably affected by the addition of nonzero cluster effects or a temporal trend in hospitalization intensity. Stepped wedge trial designs that intervene in small clusters across longer periods can provide enhanced power to evaluate comparative effectiveness, while offering practical implementation advantages in geographic stratification, temporal change, use of existing data, and resource distribution. Current population estimates were used; however, models may not reflect actual event rates during the trial. In addition, temporal or spatial heterogeneity can bias treatment effect estimates. © The Author(s) 2016.

Using GIS to generate spatially balanced random survey designs for natural resource applications.

PubMed

Theobald, David M; Stevens, Don L; White, Denis; Urquhart, N Scott; Olsen, Anthony R; Norman, John B

2007-07-01

Sampling of a population is frequently required to understand trends and patterns in natural resource management because financial and time constraints preclude a complete census. A rigorous probability-based survey design specifies where to sample so that inferences from the sample apply to the entire population. Probability survey designs should be used in natural resource and environmental management situations because they provide the mathematical foundation for statistical inference. Development of long-term monitoring designs demand survey designs that achieve statistical rigor and are efficient but remain flexible to inevitable logistical or practical constraints during field data collection. Here we describe an approach to probability-based survey design, called the Reversed Randomized Quadrant-Recursive Raster, based on the concept of spatially balanced sampling and implemented in a geographic information system. This provides environmental managers a practical tool to generate flexible and efficient survey designs for natural resource applications. Factors commonly used to modify sampling intensity, such as categories, gradients, or accessibility, can be readily incorporated into the spatially balanced sample design.

Relationships between duration of practice, educational level, and perception of barriers to implement evidence-based practice among critical care nurses.

PubMed

Phillips, Carswella

2015-12-01

Globally, a greater emphasis has been placed on the delivery of safe, patient-centered, evidence-based nursing care. As point-of-care providers, critical care nurses play a key role in ensuring that patients receive the safest, most effective treatment available. In order to deliver scientific-based care, critical care nurses must stay abreast of the current trends, as well as engage in the evidence-based practice process. This study aimed to describe research activities, to identify barriers to implement evidence-based practice and to explore professional factors related to the use of evidence-based practice among critical care nurses at three teaching hospitals in south-eastern United States. A survey design and convenience sampling method was used. A sample of 30 critical care staff nurses participated in the study. A 61-item online questionnaire composed of a demographic survey - BARRIERS scale - and Evidence-Based Practice Questionnaire was used. Simple descriptive statistics, Pearson's product moment correlations, and independent-sample t test procedures were used to analyze the data. Critical care nurses' reported positive attitudes, but viewed knowledge and use of evidence-based practice less favorably. These results may indicate that having a positive attitude towards evidence-based practice does not necessarily translate to knowledge and use of the evidence-based practice process in clinical practice. An unwillingness to change and time constraints were identified as the top barriers to use evidence-based practice in this study. Perceptions of barriers to use evidence-based practice were higher in those critical care nurses who had less practical experience and educational preparation. The results suggest that critical care nurses possess the foundation to engage in the evidence-based practice process; however, their knowledge, practice, and attitudes just need to be cultivated and strengthened. Understanding the nurses' professional factors, current use and barriers to implement evidence-based practice is an essential step to ensuring competency and value for engaging in the evidence-based practice process. The results of this study support the need for future research to address barriers that impact critical care nurses' ability to deliver state-of-the-science care.

Some challenges with statistical inference in adaptive designs.

PubMed

Hung, H M James; Wang, Sue-Jane; Yang, Peiling

2014-01-01

Adaptive designs have generated a great deal of attention to clinical trial communities. The literature contains many statistical methods to deal with added statistical uncertainties concerning the adaptations. Increasingly encountered in regulatory applications are adaptive statistical information designs that allow modification of sample size or related statistical information and adaptive selection designs that allow selection of doses or patient populations during the course of a clinical trial. For adaptive statistical information designs, a few statistical testing methods are mathematically equivalent, as a number of articles have stipulated, but arguably there are large differences in their practical ramifications. We pinpoint some undesirable features of these methods in this work. For adaptive selection designs, the selection based on biomarker data for testing the correlated clinical endpoints may increase statistical uncertainty in terms of type I error probability, and most importantly the increased statistical uncertainty may be impossible to assess.

Optimizing construction quality management of pavements using mechanistic performance analysis.

DOT National Transportation Integrated Search

2004-08-01

This report presents a statistical-based algorithm that was developed to reconcile the results from several pavement performance models used in the state of practice with systematic process control techniques. These algorithms identify project-specif...

The discovery and development of HIV therapy: the new challenges.

PubMed

Perno, Carlo Federico

2011-01-01

The therapy of HIV infection has been dramatically improved over the years, and allowed the achievement of unexpected results. The availability of many drugs, and the knowledge of HIV related pathogenesis, helped in selecting highly effective antiviral therapies, yet today a major challenge stands, that is the selection of the best regimen(s) in clinical practice. In this frame, evidence-based medicine remains a cornerstone of modern medicine, but its structure needs to be adapted to the new challenges, made by an excess of information (not always fully reliable), by highly sophisticated statistical systems that may overlook the clinical practice despite their ability to define the statistical significance, and the limited number of independent controlled studies. The revision of the criteria of evidence-based medicine, and their adaptation to the new tools available, may allow a better contribution to the definition of the best therapy for each single patient.

Dynamical Systems Theory in Quantitative Psychology and Cognitive Science: A Fair Discrimination between Deterministic and Statistical Counterparts is Required.

PubMed

Gadomski, Adam; Ausloos, Marcel; Casey, Tahlia

2017-04-01

This article addresses a set of observations framed in both deterministic as well as statistical formal guidelines. It operates within the framework of nonlinear dynamical systems theory (NDS). It is argued that statistical approaches can manifest themselves ambiguously, creating practical discrepancies in psychological and cognitive data analyses both quantitatively and qualitatively. This is sometimes termed in literature as 'questionable research practices.' This communication points to the demand for a deeper awareness of the data 'initial conditions, allowing to focus on pertinent evolution constraints in such systems.' It also considers whether the exponential (Malthus-type) or the algebraic (Pareto-type) statistical distribution ought to be effectively considered in practical interpretations. The role of repetitive specific behaviors by patients seeking treatment is examined within the NDS frame. The significance of these behaviors, involving a certain memory effect seems crucial in determining a patient's progression or regression. With this perspective, it is discussed how a sensitively applied hazardous or triggering factor can be helpful for well-controlled psychological strategic treatments; those attributable to obsessive-compulsive disorders or self-injurious behaviors are recalled in particular. There are both inherent criticality- and complexity-exploiting (reduced-variance based) relations between a therapist and a patient that can be intrinsically included in NDS theory.

Load balancing for massively-parallel soft-real-time systems

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hailperin, M.

1988-09-01

Global load balancing, if practical, would allow the effective use of massively-parallel ensemble architectures for large soft-real-problems. The challenge is to replace quick global communications, which is impractical in a massively-parallel system, with statistical techniques. In this vein, the author proposes a novel approach to decentralized load balancing based on statistical time-series analysis. Each site estimates the system-wide average load using information about past loads of individual sites and attempts to equal that average. This estimation process is practical because the soft-real-time systems of interest naturally exhibit loads that are periodic, in a statistical sense akin to seasonality in econometrics.more » It is shown how this load-characterization technique can be the foundation for a load-balancing system in an architecture employing cut-through routing and an efficient multicast protocol.« less

Comparing statistical and process-based flow duration curve models in ungauged basins and changing rain regimes

NASA Astrophysics Data System (ADS)

Müller, M. F.; Thompson, S. E.

2016-02-01

The prediction of flow duration curves (FDCs) in ungauged basins remains an important task for hydrologists given the practical relevance of FDCs for water management and infrastructure design. Predicting FDCs in ungauged basins typically requires spatial interpolation of statistical or model parameters. This task is complicated if climate becomes non-stationary, as the prediction challenge now also requires extrapolation through time. In this context, process-based models for FDCs that mechanistically link the streamflow distribution to climate and landscape factors may have an advantage over purely statistical methods to predict FDCs. This study compares a stochastic (process-based) and statistical method for FDC prediction in both stationary and non-stationary contexts, using Nepal as a case study. Under contemporary conditions, both models perform well in predicting FDCs, with Nash-Sutcliffe coefficients above 0.80 in 75 % of the tested catchments. The main drivers of uncertainty differ between the models: parameter interpolation was the main source of error for the statistical model, while violations of the assumptions of the process-based model represented the main source of its error. The process-based approach performed better than the statistical approach in numerical simulations with non-stationary climate drivers. The predictions of the statistical method under non-stationary rainfall conditions were poor if (i) local runoff coefficients were not accurately determined from the gauge network, or (ii) streamflow variability was strongly affected by changes in rainfall. A Monte Carlo analysis shows that the streamflow regimes in catchments characterized by frequent wet-season runoff and a rapid, strongly non-linear hydrologic response are particularly sensitive to changes in rainfall statistics. In these cases, process-based prediction approaches are favored over statistical models.

Supporting Kindergarten Teachers' Mathematics Instruction and Student Achievement through a Curriculum-Based Professional Development Program

ERIC Educational Resources Information Center

Polly, Drew; Wang, Chuang; Lambert, Richard; Martin, Christie; McGee, Jennifer Richardson; Pugalee, David; Lehew, Amy

2017-01-01

This study investigates the impacts of a year-long professional development program on Kindergarten teachers' beliefs and practices and the association of these changes with student achievement in mathematics measured by curriculum-based instruments. Although teacher content knowledge was not statistically significantly different before and after…

Nurses' perceptions of evidence-based practice: a quantitative study at a teaching hospital in Iran.

PubMed

Shafiei, Ebrahim; Baratimarnani, Ahmad; Goharinezhad, Salime; Kalhor, Rohollah; Azmal, Mohammad

2014-01-01

Evidence-based practice (EBP) provides nurses a method to use critically appraised and scientifically proven evidence for delivering quality health care and the best decision that leads to quality outcomes. The purpose of this study was to measure the practice, attitude and knowledge/skill of evidence-based practice of nurses in a teaching hospital in Iran. This cross-sectional study was conducted in 2011.The study sample was composed of 195 nurses who were working at the Fatemeh Zahra Hospital affiliated to Bushehr University of Medical Sciences (BPUMS). The survey instrument was a questionnaire based on Upton and Upton study. This tool measures Nurses' perceptions in the three sub-scales of practice, attitude and knowledge/skill of evidence-based practice. Descriptive statistical analysis was used to analyze the data. Pearson correlation coefficients were used to examine the relationship between subscales. The overall mean score of the evidence-based practice in this study was 4.48±1.26 from 7, and the three subscales of practice, attitude and knowledge/skill in evidence-based practice were, 4.58±1.24, 4.57±1.35 and 4.39±1.20, respectively. There was a strong relationship between knowledge and performance subscale (r=0.73,p<0.01). Findings of the study indicate that more training and education are required for evidence-based nursing. Successful implementation of evidence-based nursing depends on organizational plans and empowerment programs in hospitals. Hence, hospital managers should formulate a comprehensive strategy for improving EBP.

The Development of Statistics Textbook Supported with ICT and Portfolio-Based Assessment

NASA Astrophysics Data System (ADS)

Hendikawati, Putriaji; Yuni Arini, Florentina

2016-02-01

This research was development research that aimed to develop and produce a Statistics textbook model that supported with information and communication technology (ICT) and Portfolio-Based Assessment. This book was designed for students of mathematics at the college to improve students’ ability in mathematical connection and communication. There were three stages in this research i.e. define, design, and develop. The textbooks consisted of 10 chapters which each chapter contains introduction, core materials and include examples and exercises. The textbook developed phase begins with the early stages of designed the book (draft 1) which then validated by experts. Revision of draft 1 produced draft 2 which then limited test for readability test book. Furthermore, revision of draft 2 produced textbook draft 3 which simulated on a small sample to produce a valid model textbook. The data were analysed with descriptive statistics. The analysis showed that the Statistics textbook model that supported with ICT and Portfolio-Based Assessment valid and fill up the criteria of practicality.

Categorical data processing for real estate objects valuation using statistical analysis

NASA Astrophysics Data System (ADS)

Parygin, D. S.; Malikov, V. P.; Golubev, A. V.; Sadovnikova, N. P.; Petrova, T. M.; Finogeev, A. G.

2018-05-01

Theoretical and practical approaches to the use of statistical methods for studying various properties of infrastructure objects are analyzed in the paper. Methods of forecasting the value of objects are considered. A method for coding categorical variables describing properties of real estate objects is proposed. The analysis of the results of modeling the price of real estate objects using regression analysis and an algorithm based on a comparative approach is carried out.

Primer of statistics in dental research: part I.

PubMed

Shintani, Ayumi

2014-01-01

Statistics play essential roles in evidence-based dentistry (EBD) practice and research. It ranges widely from formulating scientific questions, designing studies, collecting and analyzing data to interpreting, reporting, and presenting study findings. Mastering statistical concepts appears to be an unreachable goal among many dental researchers in part due to statistical authorities' limitations of explaining statistical principles to health researchers without elaborating complex mathematical concepts. This series of 2 articles aim to introduce dental researchers to 9 essential topics in statistics to conduct EBD with intuitive examples. The part I of the series includes the first 5 topics (1) statistical graph, (2) how to deal with outliers, (3) p-value and confidence interval, (4) testing equivalence, and (5) multiplicity adjustment. Part II will follow to cover the remaining topics including (6) selecting the proper statistical tests, (7) repeated measures analysis, (8) epidemiological consideration for causal association, and (9) analysis of agreement. Copyright © 2014. Published by Elsevier Ltd.

New curricular design in biostatistics to prepare residents for an evidence-based practice and lifelong learning education: a pilot approach.

PubMed

Arias, A; Peters, O A; Broyles, I L

2017-10-01

To develop, implement and evaluate an innovative curriculum in biostatistics in response to the need to foster critical thinking in graduate healthcare education for evidence-based practice and lifelong learning education. The curriculum was designed for first-year residents in a postgraduate endodontic programme using a six-step approach to curriculum development to provide sufficient understanding to critically evaluate biomedical publications, to design the best research strategy to address a specific problem and to analyse data by appropriate statistical test selection. Multiple learner-centred instructional methods and formative and summative assessments (written tasks, simulation exercises, portfolios and pre-post knowledge tests) were used to accomplish the learning outcomes. The analysis of the achievement of the group of students and a satisfaction survey for further feedback provided to the residents at the end of the curriculum were used for curriculum evaluation. All residents demonstrated competency at the end of the curriculum. The correct answer rate changed from 36.9% in the pre-test to 79.8% in the post-test. No common errors were detected in the rest of the assessment activities. All participants completed the questionnaire demonstrating high satisfaction for each independent category and with the overall educational programme, instruction and course in general. The curriculum was validated by the assessment of students' performance and a satisfaction survey, offering an example of a practical approach to the teaching of statistics to prepare students for a successful evidence-based endodontic practice and lifelong learning education as practicing clinicians. © 2016 International Endodontic Journal. Published by John Wiley & Sons Ltd.

Learning from the best: Overcoming barriers to reforms-based elementary science teaching

NASA Astrophysics Data System (ADS)

Banchi, Heather May

This study explored the characteristics of elementary science teachers who employ reforms-based practices. Particular attention was paid to the consistency of teachers' practices and their beliefs, the impact of professional development experiences on practices, and how teachers mitigated barriers to reforms-based instruction. Understanding how successful elementary science teachers develop fills a gap in the science reforms literature. Participants included 7 upper elementary science teachers from six different schools. All schools were located within two suburban school districts in the south-Atlantic United States and data was collected during the spring of 2008. Data collection included use of the Reformed Teaching Observation Protocol (RTOP) to evaluate the level of reforms-based instruction, as well as 35 hours of classroom observation field notes and 21 hours of audio-taped teacher interviews. The variety of data sources allowed for triangulation of evidence. The RTOP was analyzed using descriptive statistics and classroom observations and interview data were analyzed using Erickson's (1986) guidelines for analytic induction. Findings indicated (a) reforms-based elementary science teaching was attainable, (b) beliefs and practices were consistent and both reflected reforms-based philosophies and practices, (c) formal professional development experiences were limited and did not foster reforms-based practices, (d) informal professional development pursued by teachers had a positive impact on practices, (e) barriers to reforms-based instruction were present but mitigated by strong beliefs and practical strategies like curriculum integration. These findings suggest that there are common, salient characteristics of reforms-based teachers' beliefs, practices, and professional development experiences. These commonalities contribute to an understanding of how reforms-based teachers develop, and inform efforts to move all elementary teachers in the direction of reforms-based science teaching.

School-based obesity prevention policies and practices and weight-control behaviors among adolescents

PubMed Central

Davey, Cynthia S.; Caspi, Caitlin E.; Kubik, Martha Y.; Nanney, Marilyn S.

2016-01-01

Background The promotion of healthy eating and physical activity within school settings is an important component of population-based strategies to prevent obesity; however, adolescents may be vulnerable to weight-related messages as rapid development during this lifestage often leads to preoccupation with body size and shape. Objective This study (1) examines secular trends in secondary school curricula topics relevant to the prevention of unhealthy weight-control behaviors; (2) describes cross-sectional associations between weight-related curricula content and students’ use of weight-control behaviors; and (3) assesses whether implementation of school-based obesity prevention policies/practices are longitudinally related to students’ weight-control behaviors. Design/participants The Minnesota School Health Profiles and Minnesota Student Survey (grades 9 and 12) data were used along with National Center for Education Statistics data to examine secular trends; cross-sectional associations (n=141 schools); and longitudinal associations (n=42 schools). Main Outcome Measures Students self-reported their height and weight along with past-year use of healthy (e.g., exercise), unhealthy (e.g., fasting), and extreme (e.g., use laxatives) weight-control behaviors. Statistical analyses performed Descriptive statistics, generalized estimating equations, and generalized linear regression models accounting for school-level demographics. Results There was no observable pattern over the years 2008 to 2014 in the mean number of curricula topics addressing unhealthy weight-control behaviors despite an increase in the prevalence of curricula addressing acceptance of body size differences. Including three versus fewer weight-control topics and specifically including the topic of eating disorders in the curricula were related to a lower school-level percent of students using any extreme weight-control behaviors. In contrast, an overall measure of implementing school-based obesity prevention policies/practices (e.g., prohibited advertising) was unrelated to use of unhealthy or extreme behaviors. Conclusions Results suggest obesity prevention policies/practices do not have unintended consequences for student weight-control behaviors and support the importance of school-based health education as part of efforts to prevent unhealthy behaviors. PMID:27889315

Which Type of Risk Information to Use for Whom? Moderating Role of Outcome-Relevant Involvement in the Effects of Statistical and Exemplified Risk Information on Risk Perceptions.

PubMed

So, Jiyeon; Jeong, Se-Hoon; Hwang, Yoori

2017-04-01

The extant empirical research examining the effectiveness of statistical and exemplar-based health information is largely inconsistent. Under the premise that the inconsistency may be due to an unacknowledged moderator (O'Keefe, 2002), this study examined a moderating role of outcome-relevant involvement (Johnson & Eagly, 1989) in the effects of statistical and exemplified risk information on risk perception. Consistent with predictions based on elaboration likelihood model (Petty & Cacioppo, 1984), findings from an experiment (N = 237) concerning alcohol consumption risks showed that statistical risk information predicted risk perceptions of individuals with high, rather than low, involvement, while exemplified risk information predicted risk perceptions of those with low, rather than high, involvement. Moreover, statistical risk information contributed to negative attitude toward drinking via increased risk perception only for highly involved individuals, while exemplified risk information influenced the attitude through the same mechanism only for individuals with low involvement. Theoretical and practical implications for health risk communication are discussed.

Clinical relevance vs. statistical significance: Using neck outcomes in patients with temporomandibular disorders as an example.

PubMed

Armijo-Olivo, Susan; Warren, Sharon; Fuentes, Jorge; Magee, David J

2011-12-01

Statistical significance has been used extensively to evaluate the results of research studies. Nevertheless, it offers only limited information to clinicians. The assessment of clinical relevance can facilitate the interpretation of the research results into clinical practice. The objective of this study was to explore different methods to evaluate the clinical relevance of the results using a cross-sectional study as an example comparing different neck outcomes between subjects with temporomandibular disorders and healthy controls. Subjects were compared for head and cervical posture, maximal cervical muscle strength, endurance of the cervical flexor and extensor muscles, and electromyographic activity of the cervical flexor muscles during the CranioCervical Flexion Test (CCFT). The evaluation of clinical relevance of the results was performed based on the effect size (ES), minimal important difference (MID), and clinical judgement. The results of this study show that it is possible to have statistical significance without having clinical relevance, to have both statistical significance and clinical relevance, to have clinical relevance without having statistical significance, or to have neither statistical significance nor clinical relevance. The evaluation of clinical relevance in clinical research is crucial to simplify the transfer of knowledge from research into practice. Clinical researchers should present the clinical relevance of their results. Copyright © 2011 Elsevier Ltd. All rights reserved.

A multi-institutional study of the perceived barriers and facilitators to implementing evidence-based practice.

PubMed

Duncombe, Daphne C

2018-03-01

To examine perceived barriers and facilitators to implementing evidence-based practice among nurses working in psychiatric, geriatric, hospital and community settings in The Bahamas. It is evident from previous studies that a number of factors exist which either obstruct or promote the utilisation of research evidence in nursing practice. Identifying these factors is vital to the successful uptake of evidence-based practice in nursing. Descriptive, comparative study. Data were collected using self-administered questionnaires. A stratified random sample (n = 100) of registered nurses participated; 5-point Likert-like scales were used to examine nurses' perceptions of barriers and facilitators of evidence-based practice. Descriptive statistics were used to describe demographic characteristics and to compare responses of nurses. Participants were predominantly female (98.4%), in the 25 to <35 years age group (45.9%). Of nurses surveyed, 72.1% had never tried to implement evidence-based practice previously. The greatest barriers identified were as follows: "Inadequate resources for implementing research findings" (85.2%; n = 52) and "Inadequate training in research methods" (83.6%; n = 51). The top facilitators identified were as follows: "Training in research methods" (88.5%; n = 54) and "Organisational policies and protocols that are evidence-based" (86.9%; n = 53). Nurses generally expressed that they required additional training in research and evidence-based practice concepts. Although some nurses had a desire to implement evidence-based practice to provide quality care and improve patient outcomes, many expressed that they lacked the required resources. The study draws attention to the need for prioritisation of evidence-based practice both at institutional and governmental levels. Successful adoption of evidence-based practice implies combined efforts of nurses, healthcare providers and policymakers. Further research is needed to determine the best method for successfully incorporating evidence-based practice into nursing practice in The Bahamas. © 2017 John Wiley & Sons Ltd.

Learn the game but don't play it: nurses' perspectives on learning and applying statistics in practice.

PubMed

Gaudet, Julie; Singh, Mina D; Epstein, Iris; Santa Mina, Elaine; Gula, Taras

2014-07-01

An integrative review regarding undergraduate level statistics pedagogy for nurses revealed a paucity of research to inform curricula development and delivery. The aim of the study was to explore alumni nurses' perspectives about statistics education and its application to practice. A mixed-method approach was used whereby a quantitative approach was used to complement and develop the qualitative aspect. This study was conducted in Toronto, Ontario, Canada. Participants were nursing alumni who graduated from four types of nursing degree programs (BScN) in two Ontario universities between the years 2005-2009. Data were collected via surveys (n=232) followed by interviews (n=36). Participants reported that they did not fear statistics and that they thought their math skills were very good or excellent. They felt that statistics courses were important to their nursing practice but they were not required to use statistics. Qualitative findings emerged in the two major themes: 1) nurses value statistics and 2) nurses do not feel comfortable using statistics. Nurses recognize the inherent value of statistics to improve their professional image and interprofessional communication; yet they feel denied of full participation in application to their practice. Our findings have major implications for changes in pedagogy and practice. Copyright © 2013 Elsevier Ltd. All rights reserved.

Statistical process control: a practical application for hospitals.

PubMed

VanderVeen, L M

1992-01-01

A six-step plan based on using statistics was designed to improve quality in the central processing and distribution department of a 223-bed hospital in Oakland, CA. This article describes how the plan was implemented sequentially, starting with the crucial first step of obtaining administrative support. The QI project succeeded in overcoming beginners' fear of statistics and in training both managers and staff to use inspection checklists, Pareto charts, cause-and-effect diagrams, and control charts. The best outcome of the program was the increased commitment to quality improvement by the members of the department.

Patients, practices, and relationships: challenges and lessons learned from the Kentucky Ambulatory Network (KAN) CaRESS clinical trial.

PubMed

Love, Margaret M; Pearce, Kevin A; Williamson, M Ann; Barron, Mary A; Shelton, Brent J

2006-01-01

The Cardiovascular Risk Education and Social Support (CaRESS) study is a randomized controlled trial that evaluates a social support intervention toward reducing cardiovascular risk in type 2 diabetic patients. It involves multiple community-based practice sites from the Kentucky Ambulatory Network (KAN), which is a regional primary care practice-based research network (PBRN). CaRESS also implements multiple modes of data collection. The purpose of this methods article is to share lessons learned that might be useful to others developing or implementing complex studies that consent patients in PBRNs. Key points include building long-term relationships with the clinicians, adaptability when integrating into practice sites, adequate funding to support consistent data management and statistical support during all phases of the study, and creativity and perseverance for recruiting patients and practices while maintaining the integrity of the protocol.

Stochastic or statistic? Comparing flow duration curve models in ungauged basins and changing climates

NASA Astrophysics Data System (ADS)

Müller, M. F.; Thompson, S. E.

2015-09-01

The prediction of flow duration curves (FDCs) in ungauged basins remains an important task for hydrologists given the practical relevance of FDCs for water management and infrastructure design. Predicting FDCs in ungauged basins typically requires spatial interpolation of statistical or model parameters. This task is complicated if climate becomes non-stationary, as the prediction challenge now also requires extrapolation through time. In this context, process-based models for FDCs that mechanistically link the streamflow distribution to climate and landscape factors may have an advantage over purely statistical methods to predict FDCs. This study compares a stochastic (process-based) and statistical method for FDC prediction in both stationary and non-stationary contexts, using Nepal as a case study. Under contemporary conditions, both models perform well in predicting FDCs, with Nash-Sutcliffe coefficients above 0.80 in 75 % of the tested catchments. The main drives of uncertainty differ between the models: parameter interpolation was the main source of error for the statistical model, while violations of the assumptions of the process-based model represented the main source of its error. The process-based approach performed better than the statistical approach in numerical simulations with non-stationary climate drivers. The predictions of the statistical method under non-stationary rainfall conditions were poor if (i) local runoff coefficients were not accurately determined from the gauge network, or (ii) streamflow variability was strongly affected by changes in rainfall. A Monte Carlo analysis shows that the streamflow regimes in catchments characterized by a strong wet-season runoff and a rapid, strongly non-linear hydrologic response are particularly sensitive to changes in rainfall statistics. In these cases, process-based prediction approaches are strongly favored over statistical models.

Consistent Practices for the Probability of Detection (POD) of Fracture Critical Metallic Components Project

NASA Technical Reports Server (NTRS)

Hughitt, Brian; Generazio, Edward (Principal Investigator); Nichols, Charles; Myers, Mika (Principal Investigator); Spencer, Floyd (Principal Investigator); Waller, Jess (Principal Investigator); Wladyka, Jordan (Principal Investigator); Aldrin, John; Burke, Eric; Cerecerez, Laura;

Reaction Time in Grade 5: Data Collection within the Practice of Statistics

ERIC Educational Resources Information Center

Watson, Jane; English, Lyn

2017-01-01

This study reports on a classroom activity for Grade 5 students investigating their reaction times. The investigation was part of a 3-year research project introducing students to informal inference and giving them experience carrying out the practice of statistics. For this activity the focus within the practice of statistics was on introducing…

Development and Validation of a Teaching Practice Scale (TISS) for Instructors of Introductory Statistics at the College Level

ERIC Educational Resources Information Center

Hassad, Rossi A.

2009-01-01

This study examined the teaching practices of 227 college instructors of introductory statistics (from the health and behavioral sciences). Using primarily multidimensional scaling (MDS) techniques, a two-dimensional, 10-item teaching practice scale, TISS (Teaching of Introductory Statistics Scale), was developed and validated. The two dimensions…

Applying instructional design practices to evaluate and improve the roadway characteristics inventory (RCI) training curriculum.

DOT National Transportation Integrated Search

2010-07-01

The Transportation Statistics Office (TranStat) of the Florida Department of Transportation (FDOT) provides training for district data collection technicians in both office- and field-based Roadway Characteristics Inventory (RCI) methods. The current...

Team-Based Learning in a Statistical Literacy Class

ERIC Educational Resources Information Center

St. Clair, Katherine; Chihara, Laura

2012-01-01

Team-based learning (TBL) is a pedagogical strategy that uses groups of students working together in teams to learn course material. The main learning objective in TBL is to provide students the opportunity to "practice" course concepts during class-time. A key feature is multiple-choice quizzes that students take individually and then re-take as…

Appointment-keeping behavior of Medicaid-enrolled pediatric dental patients in eastern Iowa.

PubMed

Iben, P; Kanellis, M J; Warren, J

2000-01-01

The purpose of this prospective study was to assess the appointment-keeping behavior of Medicaid-enrolled pediatric dental patients in three Eastern Iowa practices. During the month of October 1998, a tally was kept of all patient appointments at a private pediatric dental office, a public health dental clinic, and a university-based pediatric dentistry clinic. Patients were categorized as either Medicaid or non-Medicaid. Appointment behavior categories were defined as: On time; Failure; Late-notice Cancellation (less than 24 hours notice); and Tardy (greater than 10 minutes). The data was entered in SPSS and analyzed using the chi square statistic. Statistical significance was P < 0.05. A total of 1,406 appointments were recorded for all three sites. Overall, patients on Iowa Medicaid had higher appointment failure, late-notice cancellation, and tardiness rates than non-Medicaid patients at all three clinics. However, these differences were only statistically significant for the private office and the university-based clinic. Failed appointment rates for Medicaid patients were much higher at the private office (38%) than at the other two sites. Consistent with anecdotal reports from dentists, Medicaid patients had higher rates of broken appointments than did non-Medicaid patients, particularly in a private practice setting.

Representativeness and optimal use of body mass index (BMI) in the UK Clinical Practice Research Datalink (CPRD)

PubMed Central

Bhaskaran, Krishnan; Forbes, Harriet J; Douglas, Ian; Leon, David A; Smeeth, Liam

2013-01-01

Objectives To assess the completeness and representativeness of body mass index (BMI) data in the Clinical Practice Research Datalink (CPRD), and determine an optimal strategy for their use. Design Descriptive study. Setting Electronic healthcare records from primary care. Participants A million patient random sample from the UK CPRD primary care database, aged ≥16 years. Primary and secondary outcome measures BMI completeness in CPRD was evaluated by age, sex and calendar period. CPRD-based summary BMI statistics for each calendar year (2003–2010) were age-standardised and sex-standardised and compared with equivalent statistics from the Health Survey for England (HSE). Results BMI completeness increased over calendar time from 37% in 1990–1994 to 77% in 2005–2011, was higher among females and increased with age. When BMI at specific time points was assigned based on the most recent record, calendar–year-specific mean BMI statistics underestimated equivalent HSE statistics by 0.75–1.1 kg/m2. Restriction to those with a recent (≤3 years) BMI resulted in mean BMI estimates closer to HSE (≤0.28 kg/m2 underestimation), but excluded up to 47% of patients. An alternative strategy of imputing up-to-date BMI based on modelled changes in BMI over time since the last available record also led to mean BMI estimates that were close to HSE (≤0.37 kg/m2 underestimation). Conclusions Completeness of BMI in CPRD increased over time and varied by age and sex. At a given point in time, a large proportion of the most recent BMIs are unlikely to reflect current BMI; consequent BMI misclassification might be reduced by employing model-based imputation of current BMI. PMID:24038008

Characterizing uncertainty and variability in physiologically based pharmacokinetic models: state of the science and needs for research and implementation.

PubMed

Barton, Hugh A; Chiu, Weihsueh A; Setzer, R Woodrow; Andersen, Melvin E; Bailer, A John; Bois, Frédéric Y; Dewoskin, Robert S; Hays, Sean; Johanson, Gunnar; Jones, Nancy; Loizou, George; Macphail, Robert C; Portier, Christopher J; Spendiff, Martin; Tan, Yu-Mei

2007-10-01

Physiologically based pharmacokinetic (PBPK) models are used in mode-of-action based risk and safety assessments to estimate internal dosimetry in animals and humans. When used in risk assessment, these models can provide a basis for extrapolating between species, doses, and exposure routes or for justifying nondefault values for uncertainty factors. Characterization of uncertainty and variability is increasingly recognized as important for risk assessment; this represents a continuing challenge for both PBPK modelers and users. Current practices show significant progress in specifying deterministic biological models and nondeterministic (often statistical) models, estimating parameters using diverse data sets from multiple sources, using them to make predictions, and characterizing uncertainty and variability of model parameters and predictions. The International Workshop on Uncertainty and Variability in PBPK Models, held 31 Oct-2 Nov 2006, identified the state-of-the-science, needed changes in practice and implementation, and research priorities. For the short term, these include (1) multidisciplinary teams to integrate deterministic and nondeterministic/statistical models; (2) broader use of sensitivity analyses, including for structural and global (rather than local) parameter changes; and (3) enhanced transparency and reproducibility through improved documentation of model structure(s), parameter values, sensitivity and other analyses, and supporting, discrepant, or excluded data. Longer-term needs include (1) theoretical and practical methodological improvements for nondeterministic/statistical modeling; (2) better methods for evaluating alternative model structures; (3) peer-reviewed databases of parameters and covariates, and their distributions; (4) expanded coverage of PBPK models across chemicals with different properties; and (5) training and reference materials, such as cases studies, bibliographies/glossaries, model repositories, and enhanced software. The multidisciplinary dialogue initiated by this Workshop will foster the collaboration, research, data collection, and training necessary to make characterizing uncertainty and variability a standard practice in PBPK modeling and risk assessment.

Beyond evidence-based nursing: tools for practice.

PubMed

Jutel, Annemarie

2008-05-01

This commentary shares my views of evidence-based nursing as a framework for practice, pointing out its limitations and identifying a wider base of appraisal tools required for making good clinical decisions. As the principles of evidence-based nursing take an increasingly greater hold on nursing education, policy and management, it is important to consider the range of other decision-making tools which are subordinated by this approach. This article summarizes nursing's simultaneous reliance on and critique of evidence-based practice (EBP) in a context of inadequate critical reasoning. It then provides an exemplar of the limitations of evidence-based practice and offers an alternative view of important precepts of decision-making. I identify means by which nurses can develop skills to engage in informed and robust critique of practices and their underpinning rationale. Nurses need to be able to locate and assess useful and reliable information for decision-making. This skill is based on a range of tools which include, but also go beyond EBP including: information literacy, humanities, social sciences, public health, statistics, marketing, ethics and much more. This essay prompts nursing managers to reflect upon whether a flurried enthusiasm to adopt EBP neglects other important decision-making skills which provide an even stronger foundation for robust nursing decisions.

Naval Leadership: A Study of Views on Leadership Competencies and Methods to Reinforce Leadership Skills

DTIC Science & Technology

1990-12-01

stated these problems -- racism , sexism , drug and alcohol abuse -- were a result of the poor leadership ability in Navymiddle management [Ref. 3... The HRM program instituted a formal course of instruction to teach leadership theories . The leadership training of the Human Resource Management...management practices based on the guidelines developed by W. E. Demming [Ref. 14]. The TQL practice involves integrating management and statistical methods to

Transcranial magnetic stimulation (TMS) for major depression: a multisite, naturalistic, observational study of quality of life outcome measures in clinical practice.

PubMed

Janicak, Philip G; Dunner, David L; Aaronson, Scott T; Carpenter, Linda L; Boyadjis, Terrence A; Brock, David G; Cook, Ian A; Lanocha, Karl; Solvason, Hugh B; Bonneh-Barkay, Dafna; Demitrack, Mark A

2013-12-01

Transcranial magnetic stimulation (TMS) is an effective and safe therapy for major depressive disorder (MDD). This study assessed quality of life (QOL) and functional status outcomes for depressed patients after an acute course of TMS. Forty-two, U.S.-based, clinical TMS practice sites treated 307 outpatients with a primary diagnosis of MDD and persistent symptoms despite prior adequate antidepressant pharmacotherapy. Treatment parameters were based on individual clinical considerations and followed the labeled procedures for use of the approved TMS device. Patient self-reported QOL outcomes included change in the Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36) and the EuroQol 5-Dimensions (EQ-5D) ratings from baseline to end of the acute treatment phase. Statistically significant improvement in functional status on a broad range of mental health and physical health domains was observed on the SF-36 following acute TMS treatment. Similarly, statistically significant improvement in patient-reported QOL was observed on all domains of the EQ-5D and on the General Health Perception and Health Index scores. Improvement on these measures was observed across the entire range of baseline depression symptom severity. These data confirm that TMS is effective in the acute treatment of MDD in routine clinical practice settings. This symptom benefit is accompanied by statistically and clinically meaningful improvements in patient-reported QOL and functional status outcomes.

Effectiveness of an Online Educational Module in Improving Evidence-Based Practice Skills of Practicing Registered Nurses.

PubMed

Moore, Lora

2017-10-01

Implementation of evidence-based practice (EBP) at the bedside has been difficult to achieve. Significant gaps between current research and actual practice have been identified and must be addressed in effort to increase utilization of EBP. The purpose of this study was to evaluate the efficacy of an online EBP educational intervention and to examine the relationship between educational preparation and years of nursing experience on nurses' practice, attitudes, and knowledge and skills of EBP. An experimental pretest-posttest design study with three randomized groups utilizing the EBPQ instrument was conducted. No significant differences were noted in EBPQ subscale scores of practice, attitude, or knowledge and skills from pre- to posttest. In addition, no statistical difference in EBPQ subscale scores regarding educational preparation or years of experience were noted. While nurses report positive attitudes toward EBP, their perceptions of practice and knowledge and skills score much lower. Educational interventions are needed for practicing nurses to overcome this knowledge deficit to successfully implement EBP. However, the use of online, independent, computer-based learning modules, while cost-efficient and offer several benefits when educating nurses, may not necessarily be the most effective method for teaching EBP knowledge and skills to practicing nurses. © 2017 Sigma Theta Tau International.

Diagnosing and dealing with multicollinearity.

PubMed

Schroeder, M A

1990-04-01

The purpose of this article was to increase nurse researchers' awareness of the effects of collinear data in developing theoretical models for nursing practice. Collinear data distort the true value of the estimates generated from ordinary least-squares analysis. Theoretical models developed to provide the underpinnings of nursing practice need not be abandoned, however, because they fail to produce consistent estimates over repeated applications. It is also important to realize that multicollinearity is a data problem, not a problem associated with misspecification of a theorectical model. An investigator must first be aware of the problem, and then it is possible to develop an educated solution based on the degree of multicollinearity, theoretical considerations, and sources of error associated with alternative, biased, least-square regression techniques. Decisions based on theoretical and statistical considerations will further the development of theory-based nursing practice.

Characterizing Uncertainty and Variability in PBPK Models ...

EPA Pesticide Factsheets

Mode-of-action based risk and safety assessments can rely upon tissue dosimetry estimates in animals and humans obtained from physiologically-based pharmacokinetic (PBPK) modeling. However, risk assessment also increasingly requires characterization of uncertainty and variability; such characterization for PBPK model predictions represents a continuing challenge to both modelers and users. Current practices show significant progress in specifying deterministic biological models and the non-deterministic (often statistical) models, estimating their parameters using diverse data sets from multiple sources, and using them to make predictions and characterize uncertainty and variability. The International Workshop on Uncertainty and Variability in PBPK Models, held Oct 31-Nov 2, 2006, sought to identify the state-of-the-science in this area and recommend priorities for research and changes in practice and implementation. For the short term, these include: (1) multidisciplinary teams to integrate deterministic and non-deterministic/statistical models; (2) broader use of sensitivity analyses, including for structural and global (rather than local) parameter changes; and (3) enhanced transparency and reproducibility through more complete documentation of the model structure(s) and parameter values, the results of sensitivity and other analyses, and supporting, discrepant, or excluded data. Longer-term needs include: (1) theoretic and practical methodological impro

Comparison of a math fact rehearsal and a mnemonic strategy approach for improving math fact fluency.

PubMed

Nelson, Peter M; Burns, Matthew K; Kanive, Rebecca; Ysseldyke, James E

2013-12-01

The current study used a randomized controlled trial to compare the effects of a practice-based intervention and a mnemonic strategy intervention on the retention and application of single-digit multiplication facts with 90 third- and fourth-grade students with math difficulties. Changes in retention and application were assessed separately using one-way ANCOVAs in which students' pretest scores were included as the covariate. Students in the practice-based intervention group had higher retention scores (expressed as the total number of digits correct per minute) relative to the control group. No statistically significant between-group differences were observed for application scores. Practical and theoretical implications for interventions targeting basic multiplication facts are discussed. © 2013.

Effectiveness of practices to reduce blood culture contamination: a Laboratory Medicine Best Practices systematic review and meta-analysis.

PubMed

Snyder, Susan R; Favoretto, Alessandra M; Baetz, Rich Ann; Derzon, James H; Madison, Bereneice M; Mass, Diana; Shaw, Colleen S; Layfield, Christopher D; Christenson, Robert H; Liebow, Edward B

2012-09-01

This article is a systematic review of the effectiveness of three practices for reducing blood culture contamination rates: venipuncture, phlebotomy teams, and prepackaged preparation/collection (prep) kits. The CDC-funded Laboratory Medicine Best Practices Initiative systematic review methods for quality improvement practices were used. Studies included as evidence were: 9 venipuncture (vs. versus intravenous catheter), 5 phlebotomy team; and 7 prep kit. All studies for venipuncture and phlebotomy teams favored these practices, with meta-analysis mean odds ratios for venipuncture of 2.69 and phlebotomy teams of 2.58. For prep kits 6 studies' effect sizes were not statistically significantly different from no effect (meta-analysis mean odds ratio 1.12). Venipuncture and the use of phlebotomy teams are effective practices for reducing blood culture contamination rates in diverse hospital settings and are recommended as evidence-based "best practices" with high overall strength of evidence and substantial effect size ratings. No recommendation is made for or against prep kits based on uncertain improvement. Copyright © 2012 The Canadian Society of Clinical Chemists. All rights reserved.

Statistical complexity measure of pseudorandom bit generators

NASA Astrophysics Data System (ADS)

González, C. M.; Larrondo, H. A.; Rosso, O. A.

2005-08-01

Pseudorandom number generators (PRNG) are extensively used in Monte Carlo simulations, gambling machines and cryptography as substitutes of ideal random number generators (RNG). Each application imposes different statistical requirements to PRNGs. As L’Ecuyer clearly states “the main goal for Monte Carlo methods is to reproduce the statistical properties on which these methods are based whereas for gambling machines and cryptology, observing the sequence of output values for some time should provide no practical advantage for predicting the forthcoming numbers better than by just guessing at random”. In accordance with different applications several statistical test suites have been developed to analyze the sequences generated by PRNGs. In a recent paper a new statistical complexity measure [Phys. Lett. A 311 (2003) 126] has been defined. Here we propose this measure, as a randomness quantifier of a PRNGs. The test is applied to three very well known and widely tested PRNGs available in the literature. All of them are based on mathematical algorithms. Another PRNGs based on Lorenz 3D chaotic dynamical system is also analyzed. PRNGs based on chaos may be considered as a model for physical noise sources and important new results are recently reported. All the design steps of this PRNG are described, and each stage increase the PRNG randomness using different strategies. It is shown that the MPR statistical complexity measure is capable to quantify this randomness improvement. The PRNG based on the chaotic 3D Lorenz dynamical system is also evaluated using traditional digital signal processing tools for comparison.

Nursing and midwifery use, perceptions and barriers to evidence-based practice: a cross-sectional survey.

PubMed

Fry, Margaret; Attawet, Jutharat

2018-03-01

The study aimed to explore how nurses and midwives obtain, use and embed evidence in everyday practice. The study design was cross-sectional survey method. The setting was one local health district in metropolitan Sydney, Australia. All nurses and midwives working within the local health district, with access to an email account, were invited to participate in the study. An online survey questionnaire was distributed to explore how evidence is obtained, used and embedded within the clinical setting. The data were analysed using descriptive statistics (frequency and percentages). Pearson's Chi-square tests were used for comparison between groups. There were 204 survey respondents. The findings identified that the majority (n = 157; 76.96%) of respondents obtained evidence primarily from clinical practice guidelines. The majority (n = 149; 73.04%) of respondents reportedly searched databases and used evidence related to general clinical practice. There was a statistical difference (χ = 17.069; df = 8; P = 0.029) when comparing leadership positions and other registered practitioner groups in the frequency of searching for evidence. Most respondents (n = 138; 67.65%) were confident in their ability to change practice on the basis of available evidence. Thematic analysis identified four barriers to sustaining evidence-based practice, which included: the need for time; the need for organizational and management support; the need for educational opportunities and challenges to accessing evidence. The study provided an understanding of how nurses and midwives obtain, use and embed evidence into everyday practice. More importantly, the role of leadership is significant to support a process of knowledge generation, research translation and the implementation of evidence into clinical settings.

ASSESSMENT OF GOOD PRACTICES IN HOSPITAL FOOD SERVICE BY COMPARING EVALUATION TOOLS.

PubMed

Macedo Gonçalves, Juliana; Lameiro Rodrigues, Kelly; Santiago Almeida, Ângela Teresinha; Pereira, Giselda Maria; Duarte Buchweitz, Márcia Rúbia

2015-10-01

since food service in hospitals complements medical treatment, it should be produced in proper hygienic and sanitary conditions. It is a well-known fact that food-transmitted illnesses affect with greater severity hospitalized and immunosuppressed patients. good practices in hospital food service are evaluated by comparing assessment instruments. good practices were evaluated by a verification list following Resolution of Collegiate Directory n. 216 of the Brazilian Agency for Sanitary Vigilance. Interpretation of listed items followed parameters of RCD 216 and the Brazilian Association of Collective Meals Enterprises (BACME). Fisher's exact test was applied to detect whether there were statistically significant differences. Analysis of data grouping was undertaken with Unweighted Pair-group using Arithmetic Averages, coupled to a correlation study between dissimilarity matrixes to verify disagreement between the two methods. Good Practice was classified with mean total rates above 75% by the two methods. There were statistically significant differences between services and food evaluated by BACME instrument. Hospital Food Services have proved to show conditions of acceptable good practices. the comparison of interpretation tools based on RCD n. 216 and BACME provided similar results for the two classifications. Copyright AULA MEDICA EDICIONES 2014. Published by AULA MEDICA. All rights reserved.

Interest and satisfaction of dentists in practicing periodontics: A survey based on treatment of gingival recession

PubMed Central

Grover, Vishakha; Kapoor, Anoop; Malhotra, Ranjan; Sachdeva, Sonia

2012-01-01

Background: Gingival recession is a common occurrence and patients often report to dental clinic with associated problems such as root surface hypersensitivity, esthetic concerns, cervical root abrasions, and root caries that make it a concern for patients. Based upon the fact that gingival recession is an enigma for clinicians because of multitude of etiological factors and plethora of treatment modalities present for its treatment, a survey was conducted to assess knowledge as well as opinion about most common etiology, classification, and preferred treatment of gingival recession and to evaluate the interest and satisfaction of dentists in practicing periodontics. Materials and Methods: Study design consisted of a cross-sectional online survey, conducted among dentists practicing in state of Punjab, India, in the month of April 2011. A structured online questionnaire consisting of 17 questions evaluating the interest of dentists in periodontics based on knowledge about gingival recession (most of them giving the possibility of multiple choices of answers) was sent to about 300 dentists. Pearson Chi-Square and Mann-Whitney U tests were used for statistical analysis of data collected. P ≤ 0.05 was considered as statistically significant and P ≤ 0.01 considered as highly significant. Results: A greater proportion of periodontists had better knowledge about etiology (P = 0.07), classification (P = 0.000), and treatment of gingival recession (P = 0.000). A greater number of periodontists opted for the surgical modalities to correct the defects produced by gingival recession as compared to non-periodontists and had better interest (P = 0.000) and satisfaction (P = 0.000) in practicing periodontics. Conclusion: The results elucidated that periodontists had better interest and satisfaction in practicing periodontics, and were more inclined towards surgical correction of gingival recession as compared to non-periodontists. PMID:23162580

Interest and satisfaction of dentists in practicing periodontics: A survey based on treatment of gingival recession.

PubMed

Grover, Vishakha; Kapoor, Anoop; Malhotra, Ranjan; Sachdeva, Sonia

2012-07-01

Gingival recession is a common occurrence and patients often report to dental clinic with associated problems such as root surface hypersensitivity, esthetic concerns, cervical root abrasions, and root caries that make it a concern for patients. Based upon the fact that gingival recession is an enigma for clinicians because of multitude of etiological factors and plethora of treatment modalities present for its treatment, a survey was conducted to assess knowledge as well as opinion about most common etiology, classification, and preferred treatment of gingival recession and to evaluate the interest and satisfaction of dentists in practicing periodontics. Study design consisted of a cross-sectional online survey, conducted among dentists practicing in state of Punjab, India, in the month of April 2011. A structured online questionnaire consisting of 17 questions evaluating the interest of dentists in periodontics based on knowledge about gingival recession (most of them giving the possibility of multiple choices of answers) was sent to about 300 dentists. Pearson Chi-Square and Mann-Whitney U tests were used for statistical analysis of data collected. P ≤ 0.05 was considered as statistically significant and P ≤ 0.01 considered as highly significant. A greater proportion of periodontists had better knowledge about etiology (P = 0.07), classification (P = 0.000), and treatment of gingival recession (P = 0.000). A greater number of periodontists opted for the surgical modalities to correct the defects produced by gingival recession as compared to non-periodontists and had better interest (P = 0.000) and satisfaction (P = 0.000) in practicing periodontics. The results elucidated that periodontists had better interest and satisfaction in practicing periodontics, and were more inclined towards surgical correction of gingival recession as compared to non-periodontists.

A note on the kappa statistic for clustered dichotomous data.

PubMed

Zhou, Ming; Yang, Zhao

2014-06-30

The kappa statistic is widely used to assess the agreement between two raters. Motivated by a simulation-based cluster bootstrap method to calculate the variance of the kappa statistic for clustered physician-patients dichotomous data, we investigate its special correlation structure and develop a new simple and efficient data generation algorithm. For the clustered physician-patients dichotomous data, based on the delta method and its special covariance structure, we propose a semi-parametric variance estimator for the kappa statistic. An extensive Monte Carlo simulation study is performed to evaluate the performance of the new proposal and five existing methods with respect to the empirical coverage probability, root-mean-square error, and average width of the 95% confidence interval for the kappa statistic. The variance estimator ignoring the dependence within a cluster is generally inappropriate, and the variance estimators from the new proposal, bootstrap-based methods, and the sampling-based delta method perform reasonably well for at least a moderately large number of clusters (e.g., the number of clusters K ⩾50). The new proposal and sampling-based delta method provide convenient tools for efficient computations and non-simulation-based alternatives to the existing bootstrap-based methods. Moreover, the new proposal has acceptable performance even when the number of clusters is as small as K = 25. To illustrate the practical application of all the methods, one psychiatric research data and two simulated clustered physician-patients dichotomous data are analyzed. Copyright © 2014 John Wiley & Sons, Ltd.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Labby, Z.

Physicists are often expected to have a solid grounding in experimental design and statistical analysis, sometimes filling in when biostatisticians or other experts are not available for consultation. Unfortunately, graduate education on these topics is seldom emphasized and few opportunities for continuing education exist. Clinical physicists incorporate new technology and methods into their practice based on published literature. A poor understanding of experimental design and analysis could Result in inappropriate use of new techniques. Clinical physicists also improve current practice through quality initiatives that require sound experimental design and analysis. Academic physicists with a poor understanding of design and analysismore » may produce ambiguous (or misleading) results. This can Result in unnecessary rewrites, publication rejection, and experimental redesign (wasting time, money, and effort). This symposium will provide a practical review of error and uncertainty, common study designs, and statistical tests. Instruction will primarily focus on practical implementation through examples and answer questions such as: where would you typically apply the test/design and where is the test/design typically misapplied (i.e., common pitfalls)? An analysis of error and uncertainty will also be explored using biological studies and associated modeling as a specific use case. Learning Objectives: Understand common experimental testing and clinical trial designs, what questions they can answer, and how to interpret the results Determine where specific statistical tests are appropriate and identify common pitfalls Understand the how uncertainty and error are addressed in biological testing and associated biological modeling.« less

Effectiveness of a Technology-Based Intervention to Teach Evidence-Based Practice: The EBR Tool.

PubMed

Long, JoAnn D; Gannaway, Paula; Ford, Cindy; Doumit, Rita; Zeeni, Nadine; Sukkarieh-Haraty, Ola; Milane, Aline; Byers, Beverly; Harrison, LaNell; Hatch, Daniel; Brown, Justin; Proper, Sharlan; White, Patricia; Song, Huaxin

2016-02-01

As the world becomes increasingly digital, advances in technology have changed how students access evidence-based information. Research suggests that students overestimate their ability to locate quality online research and lack the skills needed to evaluate the scientific literature. Clinical nurses report relying on personal experience to answer clinical questions rather than searching evidence-based sources. To address the problem, a web-based, evidence-based research (EBR) tool that is usable from a computer, smartphone, or iPad was developed and tested. The purpose of the EBR tool is to guide students through the basic steps needed to locate and critically appraise the online scientific literature while linking users to quality electronic resources to support evidence-based practice (EBP). Testing of the tool took place in a mixed-method, quasi-experimental, and two-population randomized controlled trial (RCT) design in a U.S. and Middle East university. A statistically significant improvement in overall research skills was supported in the quasi-experimental nursing student group and RCT nutrition student group using the EBR tool. A statistically significant proportional difference was supported in the RCT nutrition and PharmD intervention groups in participants' ability to distinguish the credibility of online source materials compared with controls. The majority of participants could correctly apply PICOTS to a case study when using the tool. The data from this preliminary study suggests that the EBR tool enhanced student overall research skills and selected EBP skills while generating data for assessment of learning outcomes. The EBR tool places evidence-based resources at the fingertips of users by addressing some of the most commonly cited barriers to research utilization while exposing users to information and online literacy standards of practice, meeting a growing need within nursing curricula. © 2016 Sigma Theta Tau International.

Statistics of Sxy estimates

NASA Technical Reports Server (NTRS)

Freilich, M. H.; Pawka, S. S.

1987-01-01

The statistics of Sxy estimates derived from orthogonal-component measurements are examined. Based on results of Goodman (1957), the probability density function (pdf) for Sxy(f) estimates is derived, and a closed-form solution for arbitrary moments of the distribution is obtained. Characteristic functions are used to derive the exact pdf of Sxy(tot). In practice, a simple Gaussian approximation is found to be highly accurate even for relatively few degrees of freedom. Implications for experiment design are discussed, and a maximum-likelihood estimator for a posterior estimation is outlined.

40 CFR 80.47 - Performance-based Analytical Test Method Approach.

Code of Federal Regulations, 2014 CFR

2014-07-01

... chemistry and statistics, or at least a bachelor's degree in chemical engineering, from an accredited... be compensated for any known chemical interferences using good laboratory practices. (3) The test... section, individual test results shall be compensated for any known chemical interferences using good...

Prevalence of Oral Mucosal Lesions among Dental Patients with Mixed Habits in Salem District - A Study

PubMed Central

Karthik, R.; Mohan, N.

2017-01-01

Background: The practice of betel nut chewing with or without tobacco is still practiced in south india, salem inspite of its harmful effects. Methodology: 200 Patients visiting the outpatient department, Oral medicine and radiology from Aug 2015 to Aug 2016. Result and Conclusion: In our study, 3 women were exclusively churut smokers. Thirty-eight percent of the dental patients were beedi smoker, 32% were tobacco chewers, 12% were both betel nut and tobacco chewers, 8% were exclusively betel nut chewers, 1% of the dental population were exclusively churut smokers. Mean age group of the study population is 50.2 (14.4). There are 28 females and 172 males in the study group. Chi-square test revealed a statistically significant difference (P = 0.001) between males and females based on soft-tissue findings and no statistically significant difference (P = 0.572) between males and females based on distribution of hard-tissue findings. PMID:29284937

International survey of veterinarians to assess the importance of competencies in professional practice and education.

PubMed

Bok, Harold G J; Teunissen, Pim W; Boerboom, Tobias B B; Rhind, Susan M; Baillie, Sarah; Tegzes, John; Annandale, Henry; Matthew, Susan; Torgersen, Anne; Hecker, Kent G; Härdi-Landerer, Christina M; Gomez-Lucia, Esperanza; Ahmad, Bashir; Muijtjens, Arno M M; Jaarsma, Debbie A D C; van der Vleuten, Cees P M; van Beukelen, Peter

2014-10-15

To determine the perceived importance of specific competencies in professional veterinary practice and education among veterinarians in several countries. Survey-based prospective study. 1,137 veterinarians in 10 countries. Veterinarians were invited via email to participate in the study. A framework of 18 competencies grouped into 7 domains (veterinary expertise, communication, collaboration, entrepreneurship, health and welfare, scholarship, and personal development) was used. Respondents rated the importance of each competency for veterinary professional practice and for veterinary education by use of a 9-point Likert scale in an online questionnaire. Quantitative statistical analyses were performed to assess the data. All described competencies were perceived as having importance (with overall mean ratings [all countries] ≥ 6.45/9) for professional practice and education. Competencies related to veterinary expertise had the highest ratings (overall mean, 8.33/9 for both professional practice and education). For the veterinary expertise, entrepreneurship, and scholarship domains, substantial differences (determined on the basis of statistical significance and effect size) were found in importance ratings among veterinarians in different countries. Results indicated a general consensus regarding the importance of specific types of competencies in veterinary professional practice and education. Further research into the definition of competencies essential for veterinary professionals is needed to help inform an international dialogue on the subject.

Will genomic selection be a practical method for plant breeding?

PubMed

Nakaya, Akihiro; Isobe, Sachiko N

2012-11-01

Genomic selection or genome-wide selection (GS) has been highlighted as a new approach for marker-assisted selection (MAS) in recent years. GS is a form of MAS that selects favourable individuals based on genomic estimated breeding values. Previous studies have suggested the utility of GS, especially for capturing small-effect quantitative trait loci, but GS has not become a popular methodology in the field of plant breeding, possibly because there is insufficient information available on GS for practical use. In this review, GS is discussed from a practical breeding viewpoint. Statistical approaches employed in GS are briefly described, before the recent progress in GS studies is surveyed. GS practices in plant breeding are then reviewed before future prospects are discussed. Statistical concepts used in GS are discussed with genetic models and variance decomposition, heritability, breeding value and linear model. Recent progress in GS studies is reviewed with a focus on empirical studies. For the practice of GS in plant breeding, several specific points are discussed including linkage disequilibrium, feature of populations and genotyped markers and breeding scheme. Currently, GS is not perfect, but it is a potent, attractive and valuable approach for plant breeding. This method will be integrated into many practical breeding programmes in the near future with further advances and the maturing of its theory.

PCA as a practical indicator of OPLS-DA model reliability.

PubMed

Worley, Bradley; Powers, Robert

Principal Component Analysis (PCA) and Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA) are powerful statistical modeling tools that provide insights into separations between experimental groups based on high-dimensional spectral measurements from NMR, MS or other analytical instrumentation. However, when used without validation, these tools may lead investigators to statistically unreliable conclusions. This danger is especially real for Partial Least Squares (PLS) and OPLS, which aggressively force separations between experimental groups. As a result, OPLS-DA is often used as an alternative method when PCA fails to expose group separation, but this practice is highly dangerous. Without rigorous validation, OPLS-DA can easily yield statistically unreliable group separation. A Monte Carlo analysis of PCA group separations and OPLS-DA cross-validation metrics was performed on NMR datasets with statistically significant separations in scores-space. A linearly increasing amount of Gaussian noise was added to each data matrix followed by the construction and validation of PCA and OPLS-DA models. With increasing added noise, the PCA scores-space distance between groups rapidly decreased and the OPLS-DA cross-validation statistics simultaneously deteriorated. A decrease in correlation between the estimated loadings (added noise) and the true (original) loadings was also observed. While the validity of the OPLS-DA model diminished with increasing added noise, the group separation in scores-space remained basically unaffected. Supported by the results of Monte Carlo analyses of PCA group separations and OPLS-DA cross-validation metrics, we provide practical guidelines and cross-validatory recommendations for reliable inference from PCA and OPLS-DA models.

The Statistics Teaching Inventory: A Survey on Statistics Teachers' Classroom Practices and Beliefs

ERIC Educational Resources Information Center

Zieffler, Andrew; Park, Jiyoon; Garfield, Joan; delMas, Robert; Bjornsdottir, Audbjorg

2012-01-01

This paper reports on an instrument designed to assess the practices and beliefs of instructors of introductory statistics courses across the disciplines. Funded by a grant from the National Science Foundation, this project developed, piloted, and gathered validity evidence for the Statistics Teaching Inventory (STI). The instrument consists of 50…

Statistics Graduate Teaching Assistants' Beliefs, Practices and Preparation for Teaching Introductory Statistics

ERIC Educational Resources Information Center

Justice, Nicola; Zieffler, Andrew; Garfield, Joan

2017-01-01

Graduate teaching assistants (GTAs) are responsible for the instruction of many statistics courses offered at the university level, yet little is known about these students' preparation for teaching, their beliefs about how introductory statistics should be taught, or the pedagogical practices of the courses they teach. An online survey to examine…

Interpretation of statistical results.

PubMed

García Garmendia, J L; Maroto Monserrat, F

2018-02-21

The appropriate interpretation of the statistical results is crucial to understand the advances in medical science. The statistical tools allow us to transform the uncertainty and apparent chaos in nature to measurable parameters which are applicable to our clinical practice. The importance of understanding the meaning and actual extent of these instruments is essential for researchers, the funders of research and for professionals who require a permanent update based on good evidence and supports to decision making. Various aspects of the designs, results and statistical analysis are reviewed, trying to facilitate his comprehension from the basics to what is most common but no better understood, and bringing a constructive, non-exhaustive but realistic look. Copyright © 2018 Elsevier España, S.L.U. y SEMICYUC. All rights reserved.

A practical approach for the scale-up of roller compaction process.

PubMed

Shi, Weixian; Sprockel, Omar L

2016-09-01

An alternative approach for the scale-up of ribbon formation during roller compaction was investigated, which required only one batch at the commercial scale to set the operational conditions. The scale-up of ribbon formation was based on a probability method. It was sufficient in describing the mechanism of ribbon formation at both scales. In this method, a statistical relationship between roller compaction parameters and ribbon attributes (thickness and density) was first defined with DoE using a pilot Alexanderwerk WP120 roller compactor. While the milling speed was included in the design, it has no practical effect on granule properties within the study range despite its statistical significance. The statistical relationship was then adapted to a commercial Alexanderwerk WP200 roller compactor with one experimental run. The experimental run served as a calibration of the statistical model parameters. The proposed transfer method was then confirmed by conducting a mapping study on the Alexanderwerk WP200 using a factorial DoE, which showed a match between the predictions and the verification experiments. The study demonstrates the applicability of the roller compaction transfer method using the statistical model from the development scale calibrated with one experiment point at the commercial scale. Copyright © 2016 Elsevier B.V. All rights reserved.

Evidence-based practice: the importance of education and leadership.

PubMed

Johansson, Birgitta; Fogelberg-Dahm, Marie; Wadensten, Barbro

2010-01-01

To describe evidence-based practice among head nurses and to explore whether number of years of duty is associated with such activities. Further to evaluate the effects of education on evidence-based practice and perceived support from immediate superiors. Registered nurses in Sweden are required by law to perform care based on research findings and best experiences. In order to achieve this, evidence-based practice (EBP) is of key importance. All 168 head nurses at two hospitals were asked to participate. Ninety-nine (59%) completed the survey. Data were collected using a study-specific web-based questionnaire. The majority reported a positive attitude towards EBP, but also a lack of time for EBP activities. A greater number of years as a head nurse was positively correlated with research utilization. Education in research methods and perceived support from immediate superiors were statistically and significantly associated with increased EBP activities. The present study highlights the value of education in research methods and the importance of supportive leadership. Education is an important factor in the employment of head nurses. We recommend interventions to create increased support for EBP among management, the goal being to deliver high-quality care and increase patient satisfaction.

Prostate-Specific Antigen (PSA)–Based Population Screening for Prostate Cancer: An Evidence-Based Analysis

PubMed Central

Pron, G

2015-01-01

Background Prostate cancer (PC) is the most commonly diagnosed non-cutaneous cancer in men and their second or third leading cause of cancer death. Prostate-specific antigen (PSA) testing for PC has been in common practice for more than 20 years. Objectives A systematic review of the scientific literature was conducted to determine the effectiveness of PSA-based population screening programs for PC to inform policy decisions in a publicly funded health care system. Data Sources A systematic review of bibliographic databases was performed for systematic reviews or randomized controlled trials (RCT) of PSA-based population screening programs for PC. Review Methods A broad search strategy was employed to identify studies reporting on key outcomes of PC mortality and all-cause mortality. Results The search identified 5 systematic reviews and 6 RCTs. None of the systematic reviews found a statistically significant reduction in relative risk (RR) of PC mortality or overall mortality with PSA-based screening. PC mortality reductions were found to vary by country, by screening program, and by age of men at study entry. The European Randomized Study of Screening for Prostate Cancer found a statistically significant reduction in RR in PC mortality at 11-year follow-up (0.79; 95% CI, 0.67–0.92), although the absolute risk reduction was small (1.0/10,000 person-years). However, the primary treatment for PCs differed significantly between countries and between trial arms. The American Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO) found a statistically non-significant increase in RR for PC mortality with 13-year follow-up (1.09; 95% CI, 0.87–1.36). The degree of opportunistic screening in the control arm of the PLCO trial, however, was high. None of the RCTs found a reduction in all-cause mortality and all found a statistically significant increase in the detection of mainly low-risk, organ-confined PCs in the screening arm. Conclusions There was no evidence of a PC mortality reduction in the American PLCO trial, which investigated a screening program in a setting where opportunistic screening was already common practice. Given that opportunistic PSA screening practices in Canada are similar, it is unlikely that the introduction of a formal PSA screening program would reduce PC mortality. PMID:26366236

Prostate-Specific Antigen (PSA)-Based Population Screening for Prostate Cancer: An Evidence-Based Analysis.

PubMed

Pron, G

2015-01-01

Prostate cancer (PC) is the most commonly diagnosed non-cutaneous cancer in men and their second or third leading cause of cancer death. Prostate-specific antigen (PSA) testing for PC has been in common practice for more than 20 years. A systematic review of the scientific literature was conducted to determine the effectiveness of PSA-based population screening programs for PC to inform policy decisions in a publicly funded health care system. A systematic review of bibliographic databases was performed for systematic reviews or randomized controlled trials (RCT) of PSA-based population screening programs for PC. A broad search strategy was employed to identify studies reporting on key outcomes of PC mortality and all-cause mortality. The search identified 5 systematic reviews and 6 RCTs. None of the systematic reviews found a statistically significant reduction in relative risk (RR) of PC mortality or overall mortality with PSA-based screening. PC mortality reductions were found to vary by country, by screening program, and by age of men at study entry. The European Randomized Study of Screening for Prostate Cancer found a statistically significant reduction in RR in PC mortality at 11-year follow-up (0.79; 95% CI, 0.67-0.92), although the absolute risk reduction was small (1.0/10,000 person-years). However, the primary treatment for PCs differed significantly between countries and between trial arms. The American Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO) found a statistically non-significant increase in RR for PC mortality with 13-year follow-up (1.09; 95% CI, 0.87-1.36). The degree of opportunistic screening in the control arm of the PLCO trial, however, was high. None of the RCTs found a reduction in all-cause mortality and all found a statistically significant increase in the detection of mainly low-risk, organ-confined PCs in the screening arm. There was no evidence of a PC mortality reduction in the American PLCO trial, which investigated a screening program in a setting where opportunistic screening was already common practice. Given that opportunistic PSA screening practices in Canada are similar, it is unlikely that the introduction of a formal PSA screening program would reduce PC mortality.

Effectiveness of practices to reduce blood culture contamination: A Laboratory Medicine Best Practices systematic review and meta-analysis☆

PubMed Central

Snyder, Susan R.; Favoretto, Alessandra M.; Baetz, Rich Ann; Derzon, James H.; Madison, Bereneice M.; Mass, Diana; Shaw, Colleen S.; Layfield, Christopher D.; Christenson, Robert H.; Liebow, Edward B.

2015-01-01

Objectives This article is a systematic review of the effectiveness of three practices for reducing blood culture contamination rates: venipuncture, phlebotomy teams, and prepackaged preparation/collection (prep) kits. Design and methods The CDC-funded Laboratory Medicine Best Practices Initiative systematic review methods for quality improvement practices were used. Results Studies included as evidence were: 9 venipuncture (vs. versus intravenous catheter), 5 phlebotomy team; and 7 prep kit. All studies for venipuncture and phlebotomy teams favored these practices, with meta-analysis mean odds ratios for venipuncture of 2.69 and phlebotomy teams of 2.58. For prep kits 6 studies’ effect sizes were not statistically significantly different from no effect (meta-analysis mean odds ratio 1.12). Conclusions Venipuncture and the use of phlebotomy teams are effective practices for reducing blood culture contamination rates in diverse hospital settings and are recommended as evidence-based “best practices” with high overall strength of evidence and substantial effect size ratings. No recommendation is made for or against prep kits based on uncertain improvement. PMID:22709932

Status of women in urology: based on a report to the Society of University Urologists.

PubMed

Lightner, Deborah J; Terris, Martha K; Tsao, Alice K; Naughton, Cathy K; Lohse, Christine M

2005-02-01

Written responses from American trained women in urological surgery were obtained to evaluate practice patterns, career choices and workplace satisfaction. A 3-page unblinded questionnaire was mailed in March 2003 to American trained women in urological surgery available through the databases of the Society of Women in Urology with subsequent statistical analysis. The response rate was 60% but inclusive of all women in current academic practice in the United States. A total of 61% reported working 51 or more hours a week whereas 2% have left practice due to retirement or medical infirmity. There were 41% who had completed fellowships including 87% reporting active practice within their subspecialty, whereas 62% of fellowship trained surgeons remained in an academic practice. Among United States women in academic urological practice, academic progression has occurred in a third of this cohort. Threats to successful practice, consistent with other workplace surveys of physicians and professional women including gender based role limitation and inadequate mentoring, were commonly reported. These correctable workplace deficiencies represent an opportunity for American urology to enhance the professional workplace for all urologists regardless of gender.

Moderators and Mediators in Social Work Research: Toward a More Ecologically Valid Evidence Base for Practice

PubMed Central

Magill, Molly

2012-01-01

Summary Evidence-based practice involves the consistent and critical consumption of the social work research literature. As methodologies advance, primers to guide such efforts are often needed. In the present work, common statistical methods for testing moderation and mediation are identified, summarized, and corresponding examples, drawn from the substance abuse, domestic violence, and mental health literature, are provided. Findings While methodologically complex, analyses of these third variable effects can provide an optimal fit for the complexity involved in the provision of evidence-based social work services. While a moderator may identify the trait or state requirement for a causal relationship to occur, a mediator is concerned with the transmission of that relationship. In social work practice, these are questions of “under what conditions and for whom?” and of the “how?” of behavior change. Implications Implications include a need for greater attention to these methods among practitioners and evaluation researchers. With knowledge gained through the present review, social workers can benefit from a more ecologically valid evidence base for practice. PMID:22833701

[A Study of the Evidence-Based Nursing Practice Competence of Nurses and Its Clinical Applications].

PubMed

Hsu, Li-Ling; Hsieh, Suh-Ing; Huang, Ya-Hsuan

2015-10-01

Nurses must develop competence in evidence-based nursing in order to provide the best practice medical care to patients. Evidence-based nursing uses issue identification, data mining, and information consolidation from the related medical literature to help nurses find the best evidence. Therefore, for medical institutions to provide quality clinical care, it is necessary for nurses to develop competence in evidence-based nursing. This study aims to explore the effect of a fundamental evidence-based nursing course, as a form of educational intervention, on the development of evidence-based nursing knowledge, self-efficacy in evidence-based practice activities, and outcome expectations of evidence-based practice in nurse participants. Further the competence of these nurses in overcoming obstacles in evidence-based nursing practice. This quasi-experimental study used a pre-post test design with a single group of participants. A convenience sample of 34 nurses from a municipal hospital in northern Taiwan received 8 hours of a fundamental evidence-based nursing course over a two-week period. Participants were asked to complete four questionnaires before and after the intervention. The questionnaires measured the participants' basic demographics, experience in mining the medical literature, evidence-based nursing knowledge, self-efficacy in evidence-based practice activities, outcome expectations of evidence-based practice, competence in overcoming obstacles in evidence-based nursing practice, and learning satisfaction. Collected data was analyzed using paired t, Wilcoxon Signed Rank, and McNemar tests to measure the differences among participants' evidence-based nursing knowledge and practice activities before and after the workshop. The nurses demonstrated significantly higher scores from pre-test to post-test in evidence-based nursing knowledge II, self-efficacy in evidence-based nursing practice activities, and outcome expectations of evidence-based practice. Although the differences did not reach statistical significance, the post-test scores were significantly lower than pre-test scores in terms of the measurement of the nurses' obstacles in evidence-based nursing practice, which indicates significant improvements from pre-test to post-test in terms of the competence of participants in overcoming obstacles in evidence-based nursing practice. The intervention was found to be effective in improving the evidence-based nursing knowledge, self-efficacy in evidence-based nursing practice activities, and outcome expectations of evidence-based practice of participants and effective in reducing their obstacles in evidence-based nursing practice. Medical institutions should provide evidence-based nursing courses on a regular basis as a part of in-service education for nurses in order to help nurses develop the evidence-based nursing knowledge and practical competence required to provide quality clinical care.

Effect of Internet-Based Cognitive Apprenticeship Model (i-CAM) on Statistics Learning among Postgraduate Students.

PubMed

Saadati, Farzaneh; Ahmad Tarmizi, Rohani; Mohd Ayub, Ahmad Fauzi; Abu Bakar, Kamariah

2015-01-01

Because students' ability to use statistics, which is mathematical in nature, is one of the concerns of educators, embedding within an e-learning system the pedagogical characteristics of learning is 'value added' because it facilitates the conventional method of learning mathematics. Many researchers emphasize the effectiveness of cognitive apprenticeship in learning and problem solving in the workplace. In a cognitive apprenticeship learning model, skills are learned within a community of practitioners through observation of modelling and then practice plus coaching. This study utilized an internet-based Cognitive Apprenticeship Model (i-CAM) in three phases and evaluated its effectiveness for improving statistics problem-solving performance among postgraduate students. The results showed that, when compared to the conventional mathematics learning model, the i-CAM could significantly promote students' problem-solving performance at the end of each phase. In addition, the combination of the differences in students' test scores were considered to be statistically significant after controlling for the pre-test scores. The findings conveyed in this paper confirmed the considerable value of i-CAM in the improvement of statistics learning for non-specialized postgraduate students.

Education on electrical phenomena involved in electroporation-based therapies and treatments: a blended learning approach.

PubMed

Čorović, Selma; Mahnič-Kalamiza, Samo; Miklavčič, Damijan

2016-04-07

Electroporation-based applications require multidisciplinary expertise and collaboration of experts with different professional backgrounds in engineering and science. Beginning in 2003, an international scientific workshop and postgraduate course electroporation based technologies and treatments (EBTT) has been organized at the University of Ljubljana to facilitate transfer of knowledge from leading experts to researches, students and newcomers in the field of electroporation. In this paper we present one of the integral parts of EBTT: an e-learning practical work we developed to complement delivery of knowledge via lectures and laboratory work, thus providing a blended learning approach on electrical phenomena involved in electroporation-based therapies and treatments. The learning effect was assessed via a pre- and post e-learning examination test composed of 10 multiple choice questions (i.e. items). The e-learning practical work session and both of the e-learning examination tests were carried out after the live EBTT lectures and other laboratory work. Statistical analysis was performed to compare and evaluate the learning effect measured in two groups of students: (1) electrical engineers and (2) natural scientists (i.e. medical doctors, biologists and chemists) undergoing the e-learning practical work in 2011-2014 academic years. Item analysis was performed to assess the difficulty of each item of the examination test. The results of our study show that the total score on the post examination test significantly improved and the item difficulty in both experimental groups decreased. The natural scientists reached the same level of knowledge (no statistical difference in total post-examination test score) on the post-course test take, as do electrical engineers, although the engineers started with statistically higher total pre-test examination score, as expected. The main objective of this study was to investigate whether the educational content the e-learning practical work presented to the students with different professional backgrounds enhanced their knowledge acquired via lectures during EBTT. We compared the learning effect assessed in two experimental groups undergoing the e-learning practical work: electrical engineers and natural scientists. The same level of knowledge on the post-course examination was reached in both groups. The results indicate that our e-learning platform supported by blended learning approach provides an effective learning tool for populations with mixed professional backgrounds and thus plays an important role in bridging the gap between scientific domains involved in electroporation-based technologies and treatments.

Systematic sampling for suspended sediment

Treesearch

Robert B. Thomas

1991-01-01

Abstract - Because of high costs or complex logistics, scientific populations cannot be measured entirely and must be sampled. Accepted scientific practice holds that sample selection be based on statistical principles to assure objectivity when estimating totals and variances. Probability sampling--obtaining samples with known probabilities--is the only method that...

Spatial statistical network models for stream and river temperature in New England, USA

EPA Science Inventory

Watershed managers are challenged by the need for predictive temperature models with sufficient accuracy and geographic breadth for practical use. We described thermal regimes of New England rivers and streams based on a reduced set of metrics for the May–September growing ...

Use of Tests of Statistical Significance and Other Analytic Choices in a School Psychology Journal: Review of Practices and Suggested Alternatives.

ERIC Educational Resources Information Center

Snyder, Patricia A.; Thompson, Bruce

The use of tests of statistical significance was explored, first by reviewing some criticisms of contemporary practice in the use of statistical tests as reflected in a series of articles in the "American Psychologist" and in the appointment of a "Task Force on Statistical Inference" by the American Psychological Association…

Metrological traceability in education: A practical online system for measuring and managing middle school mathematics instruction

NASA Astrophysics Data System (ADS)

Torres Irribarra, D.; Freund, R.; Fisher, W.; Wilson, M.

2015-02-01

Computer-based, online assessments modelled, designed, and evaluated for adaptively administered invariant measurement are uniquely suited to defining and maintaining traceability to standardized units in education. An assessment of this kind is embedded in the Assessing Data Modeling and Statistical Reasoning (ADM) middle school mathematics curriculum. Diagnostic information about middle school students' learning of statistics and modeling is provided via computer-based formative assessments for seven constructs that comprise a learning progression for statistics and modeling from late elementary through the middle school grades. The seven constructs are: Data Display, Meta-Representational Competence, Conceptions of Statistics, Chance, Modeling Variability, Theory of Measurement, and Informal Inference. The end product is a web-delivered system built with Ruby on Rails for use by curriculum development teams working with classroom teachers in designing, developing, and delivering formative assessments. The online accessible system allows teachers to accurately diagnose students' unique comprehension and learning needs in a common language of real-time assessment, logging, analysis, feedback, and reporting.

Density-based empirical likelihood procedures for testing symmetry of data distributions and K-sample comparisons.

PubMed

Vexler, Albert; Tanajian, Hovig; Hutson, Alan D

In practice, parametric likelihood-ratio techniques are powerful statistical tools. In this article, we propose and examine novel and simple distribution-free test statistics that efficiently approximate parametric likelihood ratios to analyze and compare distributions of K groups of observations. Using the density-based empirical likelihood methodology, we develop a Stata package that applies to a test for symmetry of data distributions and compares K -sample distributions. Recognizing that recent statistical software packages do not sufficiently address K -sample nonparametric comparisons of data distributions, we propose a new Stata command, vxdbel, to execute exact density-based empirical likelihood-ratio tests using K samples. To calculate p -values of the proposed tests, we use the following methods: 1) a classical technique based on Monte Carlo p -value evaluations; 2) an interpolation technique based on tabulated critical values; and 3) a new hybrid technique that combines methods 1 and 2. The third, cutting-edge method is shown to be very efficient in the context of exact-test p -value computations. This Bayesian-type method considers tabulated critical values as prior information and Monte Carlo generations of test statistic values as data used to depict the likelihood function. In this case, a nonparametric Bayesian method is proposed to compute critical values of exact tests.

Integration of systematic clinical interprofessional training in a student-faculty collaborative primary care practice.

PubMed

Weinstein, Amy R; Dolce, Maria C; Koster, Megan; Parikh, Ravi; Hamlyn, Emily; A McNamara, Elizabeth; Carlson, Alexa; DiVall, Margarita V

2018-01-01

The changing healthcare environment and movement toward team-based care are contemporary challenges confronting health professional education. The primary care workforce must be prepared with recent national interprofessional competencies to practice and lead in this changing environment. From 2012 to 2014, the weekly Beth Israel Deaconess Crimson Care Collaborative Student-Faculty Practice collaborated with Northeastern University to develop, implement and evaluate an innovative model that incorporated interprofessional education into primary care practice with the goal of improving student understanding of, and ability to deliver quality, team-based care. In the monthly interprofessional clinic, an educational curriculum empowered students with evidence-based, team-based care principles. Integration of nursing, pharmacy, medicine, and masters of public health students and faculty into direct patient care, provided the opportunity to practice skills. The TeamSTEPPS® Teamwork Attitudes Questionnaire was administered pre- and post-intervention to assess its perceived impact. Seventeen students completed the post-intervention survey. Survey data indicated very positive attitudes towards team-based care at baseline. Significant improvements were reported in attitudes towards situation monitoring, limiting personal conflict, administration support and communication. However, small, but statistically significant declines were seen on one team structure and two communication items. Our program provides further evidence for the use of interprofessional training in primary care.

Delegation knowledge and practice among rehabilitation nurses.

PubMed

White, Mary Joe; Gutierrez, Ann; Davis, Kerry; Olson, Rhonda; McLaughlin, Celeste

2011-01-01

Delegation is an essential process that allows nurses to function more effectively and efficiently. The Association of Rehabilitation Nurses' (ARN) Southeast Texas Chapter research committee developed a survey to study registered nurses (RN) practices and knowledge of delegation to unlicensed assistive personnel. State boards of nursing determine delegation practices, so the survey was sent only to Texas ARN members. Benners' Novice to Expert theory was used to study delegation practices based on years of experience, certification, and education. Survey Monkey was used with a questionnaire developed by the research committee. Descriptive statistics analyzed data from the survey's 73 respondents, and chi-square measured significance of differences based on years of experience and certification (yes or no). Data show that delegation knowledge does not necessarily translate to practice, especially when looking at specific tasks performed by certified rehabilitation registered nurses (CRRNs) and non-CRRNs. The data support continued study of this important issue; 93.7% of respondents say delegation requires further discussion.

Family-centred care delivery: comparing models of primary care service delivery in Ontario.

PubMed

Mayo-Bruinsma, Liesha; Hogg, William; Taljaard, Monica; Dahrouge, Simone

2013-11-01

To determine whether models of primary care service delivery differ in their provision of family-centred care (FCC) and to identify practice characteristics associated with FCC. Cross-sectional study. Primary care practices in Ontario (ie, 35 salaried community health centres, 35 fee-for-service practices, 32 capitation-based health service organizations, and 35 blended remuneration family health networks) that belong to 4 models of primary care service delivery. A total of 137 practices, 363 providers, and 5144 patients. Measures of FCC in patient and provider surveys were based on the Primary Care Assessment Tool. Statistical analyses were conducted using linear mixed regression models and generalized estimating equations. Patient-reported FCC scores were high and did not vary significantly by primary care model. Larger panel size in a practice was associated with lower odds of patients reporting FCC. Provider-reported FCC scores were significantly higher in community health centres than in family health networks (P = .035). A larger number of nurse practitioners and clinical services on-site were both associated with higher FCC scores, while scores decreased as the number of family physicians in a practice increased and if practices were more rural. Based on provider and patient reports, primary care reform strategies that encourage larger practices and more patients per family physician might compromise the provision of FCC, while strategies that encourage multidisciplinary practices and a range of services might increase FCC.

Test of association: which one is the most appropriate for my study?

PubMed

Gonzalez-Chica, David Alejandro; Bastos, João Luiz; Duquia, Rodrigo Pereira; Bonamigo, Renan Rangel; Martínez-Mesa, Jeovany

2015-01-01

Hypothesis tests are statistical tools widely used for assessing whether or not there is an association between two or more variables. These tests provide a probability of the type 1 error (p-value), which is used to accept or reject the null study hypothesis. To provide a practical guide to help researchers carefully select the most appropriate procedure to answer the research question. We discuss the logic of hypothesis testing and present the prerequisites of each procedure based on practical examples.

Nurses' perceptions of research utilization in a corporate health care system.

PubMed

McCloskey, Donna Jo

2008-01-01

To explore selected characteristics of nurses based upon educational level (masters, baccalaureate, associate degree/diploma), years of experience, and hospital position (management, advanced practice, staff nurse) that might affect perceived availability of research resources, attitude towards research, support, and research use in practice. A descriptive nonexperimental mailed survey design was used for this study. Nurses in five hospitals within a corporate hospital system were surveyed using the Research Utilization Questionnaire (RUQ). The RUQ was used to measure nurses' perceptions of research utilization in the four dimensions of perceived use of research, attitude toward research, availability of research resources, and perceived support for research activities. ANOVA was used to analyze the data. Statistically significant differences (p<.001) were found in the perceived use of research, attitude toward research, availability of research resources, and perceived support for research activities based on educational level and organizational position. No significant differences were found in the perception of nurses based on years of experience. The results of this study have implications for staff nurses, administrators, advanced practice nurses, and educators working in hospital systems. The different perceptions based upon educational level and hospital position can be integrated and used at all levels of nursing practice to promote research utilization and evidence-based practice initiatives within the organizational structure. The results of this study have nursing implications within administration and for nursing practice. The different perceptions that were found based upon educational level and hospital position can be positively integrated and used by administrators and by nurses all levels of nursing practice to promote research utilization and evidence based practice initiatives within the organizational structure.

Progress in Organization Development Research.

ERIC Educational Resources Information Center

Roberts, Nancy C.; Porras, Jerry I.

1982-01-01

Describes major areas of progress in organization development (OD): progress in operationalizing the concept of change; progress in improving measurement; and progress in designing statistical procedures used to analyze OD intervention data. Suggests recent research developments point to a more solid base on which to build OD practice and theory.…

Virtualising the Quantitative Research Methods Course: An Island-Based Approach

ERIC Educational Resources Information Center

Baglin, James; Reece, John; Baker, Jenalle

2015-01-01

Many recent improvements in pedagogical practice have been enabled by the rapid development of innovative technologies, particularly for teaching quantitative research methods and statistics. This study describes the design, implementation, and evaluation of a series of specialised computer laboratory sessions. The sessions combined the use of an…

Mourning dove hunting regulation strategy based on annual harvest statistics and banding data

USGS Publications Warehouse

Otis, D.L.

2006-01-01

Although managers should strive to base game bird harvest management strategies on mechanistic population models, monitoring programs required to build and continuously update these models may not be in place. Alternatively, If estimates of total harvest and harvest rates are available, then population estimates derived from these harvest data can serve as the basis for making hunting regulation decisions based on population growth rates derived from these estimates. I present a statistically rigorous approach for regulation decision-making using a hypothesis-testing framework and an assumed framework of 3 hunting regulation alternatives. I illustrate and evaluate the technique with historical data on the mid-continent mallard (Anas platyrhynchos) population. I evaluate the statistical properties of the hypothesis-testing framework using the best available data on mourning doves (Zenaida macroura). I use these results to discuss practical implementation of the technique as an interim harvest strategy for mourning doves until reliable mechanistic population models and associated monitoring programs are developed.

Avoid lost discoveries, because of violations of standard assumptions, by using modern robust statistical methods.

PubMed

Wilcox, Rand; Carlson, Mike; Azen, Stan; Clark, Florence

2013-03-01

Recently, there have been major advances in statistical techniques for assessing central tendency and measures of association. The practical utility of modern methods has been documented extensively in the statistics literature, but they remain underused and relatively unknown in clinical trials. Our objective was to address this issue. STUDY DESIGN AND PURPOSE: The first purpose was to review common problems associated with standard methodologies (low power, lack of control over type I errors, and incorrect assessments of the strength of the association). The second purpose was to summarize some modern methods that can be used to circumvent such problems. The third purpose was to illustrate the practical utility of modern robust methods using data from the Well Elderly 2 randomized controlled trial. In multiple instances, robust methods uncovered differences among groups and associations among variables that were not detected by classic techniques. In particular, the results demonstrated that details of the nature and strength of the association were sometimes overlooked when using ordinary least squares regression and Pearson correlation. Modern robust methods can make a practical difference in detecting and describing differences between groups and associations between variables. Such procedures should be applied more frequently when analyzing trial-based data. Copyright © 2013 Elsevier Inc. All rights reserved.

Current practice patterns of drain usage amongst UK and Irish surgeons performing bilateral breast reductions: Evidence down the drain.

PubMed

Sugrue, Conor M; McInerney, Niall; Joyce, Cormac W; Jones, Deidre; Hussey, Alan J; Kelly, Jack L; Kerin, Michael J; Regan, Padraic J

2015-01-01

Bilateral breast reduction (BBR) is one of the most frequently performed female breast operations. Despite no evidence supporting efficacy of drain usage in BBRs, postoperative insertion is common. Recent high quality evidence demonstrating potential harm from drain use has subsequently challenged this traditional practice. The aim of this study is to assess the current practice patterns of drains usage by Plastic & Reconstructive and Breast Surgeons in UK and Ireland performing BBRs. An 18 question survey was created evaluating various aspects of BBR practice. UK and Irish Plastic & Reconstructive and Breast Surgeons were invited to participate by an email containing a link to a web-based survey. Statistical analysis was performed with student t-test and chi-square test. Two hundred and eleven responding surgeons were analysed, including 80.1% (171/211) Plastic Surgeons and 18.9% (40/211) Breast Surgeons. Of the responding surgeons, 71.6% (151/211) routinely inserted postoperative drains, for a mean of 1.32 days. Drains were used significantly less by surgeons performing ≥20 BBRs (p = 0.02). With the majority of BBRs performed as an inpatient procedure, there was a trend towards less drain usage in surgeons performing this procedure as an outpatient; however, this was not statistically significant (p = 0.07). Even with the high level of evidence demonstrating the safety of BBR without drains, they are still routinely utilised. In an era of evidence- based medicine, surgeons performing breast reductions must adopt the results from scientific research into their clinical practice.

The Effect of Distributed Practice in Undergraduate Statistics Homework Sets: A Randomized Trial

ERIC Educational Resources Information Center

Crissinger, Bryan R.

2015-01-01

Most homework sets in statistics courses are constructed so that students concentrate or "mass" their practice on a certain topic in one problem set. Distributed practice homework sets include review problems in each set so that practice on a topic is distributed across problem sets. There is a body of research that points to the…

Wind profiling based on the optical beam intensity statistics in a turbulent atmosphere.

PubMed

Banakh, Victor A; Marakasov, Dimitrii A

2007-10-01

Reconstruction of the wind profile from the statistics of intensity fluctuations of an optical beam propagating in a turbulent atmosphere is considered. The equations for the spatiotemporal correlation function and the spectrum of weak intensity fluctuations of a Gaussian beam are obtained. The algorithms of wind profile retrieval from the spatiotemporal intensity spectrum are described and the results of end-to-end computer experiments on wind profiling based on the developed algorithms are presented. It is shown that the developed algorithms allow retrieval of the wind profile from the turbulent optical beam intensity fluctuations with acceptable accuracy in many practically feasible laser measurements set up in the atmosphere.

Beware of "black swans" and "perfect storms:" the principle of plenitude and office-based anesthesia.

PubMed

Treasure, Trevor E

2014-08-01

A paradigm shift in the training, practice, and study of office-based anesthesia is necessary for our specialty. Practice improvement plans are required to prevent low-probability-high-consequence anesthesia mishaps in our offices. A scarcity of statistical data exists regarding the true risk of office-based anesthesia in oral and maxillofacial surgery. Effective proactive risk management mandates accurate data to correctly outline the problem before solutions can be implemented. Only by learning from our mistakes, will we be able to reduce errors and improve patient safety: "The only real mistake is the one from which we learn nothing"--John Powell. Copyright © 2014 American Association of Oral and Maxillofacial Surgeons. Published by Elsevier Inc. All rights reserved.

Scene-based nonuniformity correction and enhancement: pixel statistics and subpixel motion.

PubMed

Zhao, Wenyi; Zhang, Chao

2008-07-01

We propose a framework for scene-based nonuniformity correction (NUC) and nonuniformity correction and enhancement (NUCE) that is required for focal-plane array-like sensors to obtain clean and enhanced-quality images. The core of the proposed framework is a novel registration-based nonuniformity correction super-resolution (NUCSR) method that is bootstrapped by statistical scene-based NUC methods. Based on a comprehensive imaging model and an accurate parametric motion estimation, we are able to remove severe/structured nonuniformity and in the presence of subpixel motion to simultaneously improve image resolution. One important feature of our NUCSR method is the adoption of a parametric motion model that allows us to (1) handle many practical scenarios where parametric motions are present and (2) carry out perfect super-resolution in principle by exploring available subpixel motions. Experiments with real data demonstrate the efficiency of the proposed NUCE framework and the effectiveness of the NUCSR method.

A Science and Risk-Based Pragmatic Methodology for Blend and Content Uniformity Assessment.

PubMed

Sayeed-Desta, Naheed; Pazhayattil, Ajay Babu; Collins, Jordan; Doshi, Chetan

2018-04-01

This paper describes a pragmatic approach that can be applied in assessing powder blend and unit dosage uniformity of solid dose products at Process Design, Process Performance Qualification, and Continued/Ongoing Process Verification stages of the Process Validation lifecycle. The statistically based sampling, testing, and assessment plan was developed due to the withdrawal of the FDA draft guidance for industry "Powder Blends and Finished Dosage Units-Stratified In-Process Dosage Unit Sampling and Assessment." This paper compares the proposed Grouped Area Variance Estimate (GAVE) method with an alternate approach outlining the practicality and statistical rationalization using traditional sampling and analytical methods. The approach is designed to fit solid dose processes assuring high statistical confidence in both powder blend uniformity and dosage unit uniformity during all three stages of the lifecycle complying with ASTM standards as recommended by the US FDA.

Knowledge, attitude and practice of cervical cancer screening in women visiting a tertiary care hospital of Delhi.

PubMed

Singh, M; Ranjan, R; Das, B; Gupta, K

2014-01-01

Background: Cervical cancer being a major cause of morbidity and mortality in women in developing countries, its awareness is essential. Aim: The aim of this study is to assess the knowledge, attitude and practices of women regarding the basic screening test for detection of cancer cervix. Settings and Design: Population based cross-sectional study. Materials and Methods: Cross-sectional prospective study was conducted. Information from consenting participants (450) was collected using structured questionnaire. Answers were described in terms of knowledge, attitude and practice and their respective adequacy with respect to Papanicolaou (Pap) test, the most common test used for early detection of cervical cancer. Adequacy was compared between the categories of socio demographic and clinical variables. Statistical Analysis: The data collected was analyzed using statistical package (SPSS version 18.0). Adequacy was compared between the categories of the control variables by χ2 test with a 5% significance level. Results: Knowledge, attitude and practices regarding Pap test were adequate in 32.7%, 18.2% and 7.3% of women respectively. Major impediment to adequate practice was lack of request by physician. Knowledge, attitudes and practices were found to increase significantly with increasing age and education. Conclusion: Effective information, education and communication strategies are required to improve the level of awareness of public. Health-care professional should be proactive in imparting knowledge at every opportunity.

Will genomic selection be a practical method for plant breeding?

PubMed Central

Nakaya, Akihiro; Isobe, Sachiko N.

2012-01-01

Background Genomic selection or genome-wide selection (GS) has been highlighted as a new approach for marker-assisted selection (MAS) in recent years. GS is a form of MAS that selects favourable individuals based on genomic estimated breeding values. Previous studies have suggested the utility of GS, especially for capturing small-effect quantitative trait loci, but GS has not become a popular methodology in the field of plant breeding, possibly because there is insufficient information available on GS for practical use. Scope In this review, GS is discussed from a practical breeding viewpoint. Statistical approaches employed in GS are briefly described, before the recent progress in GS studies is surveyed. GS practices in plant breeding are then reviewed before future prospects are discussed. Conclusions Statistical concepts used in GS are discussed with genetic models and variance decomposition, heritability, breeding value and linear model. Recent progress in GS studies is reviewed with a focus on empirical studies. For the practice of GS in plant breeding, several specific points are discussed including linkage disequilibrium, feature of populations and genotyped markers and breeding scheme. Currently, GS is not perfect, but it is a potent, attractive and valuable approach for plant breeding. This method will be integrated into many practical breeding programmes in the near future with further advances and the maturing of its theory. PMID:22645117

Knowledge, practice and associated factors of essential newborn care at home among mothers in Gulomekada District, Eastern Tigray, Ethiopia, 2014.

PubMed

Misgna, Haftom Gebrehiwot; Gebru, Haftu Berhe; Birhanu, Mulugeta Molla

2016-06-21

Around the world, more than three million newborns die in their first months of life every year. In Ethiopia during the last five years period; neonatal mortality is 37 deaths per 1000 live births. Even though there is an improvement compared to the past five years, there is still high home delivery 90 %, and high neonatal mortality about the Millennium Development Goal, which aims to be less than 32/1000 live births in Ethiopia. The purpose of this study is to assess maternal knowledge, practice and associated factors of essential newborn care at home in Gulomekada District Eastern Tigray, Ethiopia. A community-based cross-sectional study is conducted in 296 mothers from Gulomekada District by using simple random sampling technique. Data entry and analysis is carried out by using Statistical Package for Social Sciences-20. The magnitude of the association between different variables about the outcome variable is measured by odds ratio with 95 % confidence interval. A binary logistic regression analysis is made to obtain odds ratio and the confidence interval of statistical associations. The goodness of fit had tested by Hosmer-Lemeshow statistic and all variables with P-value greater than 0.05 are fitted to the multivariate model. Variables with P < 0.2 in the bivariate analysis are included in the final model, and statistical significance is declared at P < 0.05. Eighty percent (80.4 %) study participants had good knowledge on essential new born care and 92.9 % had the good practice of essential new born care. About 60 % of mothers applied butter or oil on the cord stump for their last baby. Marital status and education are significantly associated with knowledge, whereas urban residence mothers with good knowledge on essential newborn care and employed mothers are significantly associated with mothers' practice of essential newborn care. Almost all mothers know and practice essential newborn care correctly except oil or butter application to the cord stump is highly practiced which should be avoided. Only marital status and educational status are significantly associated with mothers' knowledge.

Diabetes mellitus type II as a risk factor for depression: a lower than expected risk in a general practice setting.

PubMed

Aarts, S; van den Akker, M; van Boxtel, M P J; Jolles, J; Winkens, B; Metsemakers, J F M

2009-01-01

The aim of the present study was to determine whether a diagnosis of diabetes mellitus (DM) in a primary setting is associated with an increased risk of subsequent depression. A retrospective cohort design was used based on the Registration Network Family Practice (RNH) database. Patients diagnosed with diabetes mellitus at or after the age of 40 and who were diagnosed between 01-01-1980 and 01-01-2007 (N = 6,140), were compared with age-matched controls from a reference group (N = 18,416) without a history of diabetes. Both groups were followed for an emerging first diagnosis of depression (and/or depressive feelings) until January 1, 2008. 2.0% of the people diagnosed with diabetes mellitus developed a depressive disorder, compared to 1.6% of the reference group. After statistical correction for confounding factors diabetes mellitus was associated with an increased risk of developing subsequent depression (HR 1.26; 95% CI: 1.12-1.42) and/or depressive feelings (HR 1.33; 95% CI: 1.18-1.46). After statistical adjustment practice identification code, age and depression preceding diabetes, were significantly related to a diagnosis of depression. Patients with diabetes mellitus are more likely to develop subsequent depression than persons without a history of diabetes. Results from this large longitudinal study based on a general practice population indicate that this association is weaker than previously found in cross-sectional research using self-report surveys. Several explanations for this dissimilarity are discussed

Tourniquet use in orthopedic surgery: a descriptive survey study among Turkish orthopedic surgeons and residents in Istanbul.

PubMed

Yalçınkaya, Merter; Sökücü, Sami; Erdoğan, Sinan; Kabukçuoğlu, Yavuz S

2014-01-01

The aim of this study was to investigate and interpret the trends in tourniquet use and the accuracy of knowledge among Turkish orthopedic physicians through face-to-face survey. Turkish orthopedic physicians actively practicing operative orthopedics were questioned in a 12 question face-to-face survey. Personal information of physicians, preferred cuff pressure (CP) and tourniquet inflation time (TIT) and the source of the information for these preferences were questioned. Answers gathered were analyzed statistically. The survey was completed by 211 orthopedic physicians. Mean preferred CP and TIT was 247.1 mmHg and 108.6 minutes, respectively, in the upper limb (UL) and 345.02 mmHg and 122.4 minutes, respectively, in the lower limb (LL). A statistically significant correlation was found between the amount of pressure preferred in the LL and the years of practice; longer the years in practice, higher the amount of pressure preferred (r=0.144, p=0.04). Tourniquets were used for a maximum period of 120 minutes for the UL by 95.7% of participants and for the LL by 84.8%. The amount of CP used by the orthopedic physicians surveyed is inconsistent with the literature with frequent use of CP higher than those scientifically recommended. The outcomes of the survey should be cautionary for orthopedic physicians to review the current utilization and replace personal teachings and experience-based methods with evidence-based best practices for tourniquet application.

Incorporating big data into treatment plan evaluation: Development of statistical DVH metrics and visualization dashboards.

PubMed

Mayo, Charles S; Yao, John; Eisbruch, Avraham; Balter, James M; Litzenberg, Dale W; Matuszak, Martha M; Kessler, Marc L; Weyburn, Grant; Anderson, Carlos J; Owen, Dawn; Jackson, William C; Haken, Randall Ten

2017-01-01

To develop statistical dose-volume histogram (DVH)-based metrics and a visualization method to quantify the comparison of treatment plans with historical experience and among different institutions. The descriptive statistical summary (ie, median, first and third quartiles, and 95% confidence intervals) of volume-normalized DVH curve sets of past experiences was visualized through the creation of statistical DVH plots. Detailed distribution parameters were calculated and stored in JavaScript Object Notation files to facilitate management, including transfer and potential multi-institutional comparisons. In the treatment plan evaluation, structure DVH curves were scored against computed statistical DVHs and weighted experience scores (WESs). Individual, clinically used, DVH-based metrics were integrated into a generalized evaluation metric (GEM) as a priority-weighted sum of normalized incomplete gamma functions. Historical treatment plans for 351 patients with head and neck cancer, 104 with prostate cancer who were treated with conventional fractionation, and 94 with liver cancer who were treated with stereotactic body radiation therapy were analyzed to demonstrate the usage of statistical DVH, WES, and GEM in a plan evaluation. A shareable dashboard plugin was created to display statistical DVHs and integrate GEM and WES scores into a clinical plan evaluation within the treatment planning system. Benchmarking with normal tissue complication probability scores was carried out to compare the behavior of GEM and WES scores. DVH curves from historical treatment plans were characterized and presented, with difficult-to-spare structures (ie, frequently compromised organs at risk) identified. Quantitative evaluations by GEM and/or WES compared favorably with the normal tissue complication probability Lyman-Kutcher-Burman model, transforming a set of discrete threshold-priority limits into a continuous model reflecting physician objectives and historical experience. Statistical DVH offers an easy-to-read, detailed, and comprehensive way to visualize the quantitative comparison with historical experiences and among institutions. WES and GEM metrics offer a flexible means of incorporating discrete threshold-prioritizations and historic context into a set of standardized scoring metrics. Together, they provide a practical approach for incorporating big data into clinical practice for treatment plan evaluations.

Neural sensitivity to statistical regularities as a fundamental biological process that underlies auditory learning: the role of musical practice.

PubMed

François, Clément; Schön, Daniele

2014-02-01

There is increasing evidence that humans and other nonhuman mammals are sensitive to the statistical structure of auditory input. Indeed, neural sensitivity to statistical regularities seems to be a fundamental biological property underlying auditory learning. In the case of speech, statistical regularities play a crucial role in the acquisition of several linguistic features, from phonotactic to more complex rules such as morphosyntactic rules. Interestingly, a similar sensitivity has been shown with non-speech streams: sequences of sounds changing in frequency or timbre can be segmented on the sole basis of conditional probabilities between adjacent sounds. We recently ran a set of cross-sectional and longitudinal experiments showing that merging music and speech information in song facilitates stream segmentation and, further, that musical practice enhances sensitivity to statistical regularities in speech at both neural and behavioral levels. Based on recent findings showing the involvement of a fronto-temporal network in speech segmentation, we defend the idea that enhanced auditory learning observed in musicians originates via at least three distinct pathways: enhanced low-level auditory processing, enhanced phono-articulatory mapping via the left Inferior Frontal Gyrus and Pre-Motor cortex and increased functional connectivity within the audio-motor network. Finally, we discuss how these data predict a beneficial use of music for optimizing speech acquisition in both normal and impaired populations. Copyright © 2013 Elsevier B.V. All rights reserved.

We Look More, Listen More, Notice More: Impact of Sustained Professional Development on Head Start Teachers' Inquiry-Based and Culturally-Relevant Science Teaching Practices

NASA Astrophysics Data System (ADS)

Roehrig, Gillian H.; Dubosarsky, Mia; Mason, Annie; Carlson, Stephan; Murphy, Barbara

2011-10-01

Despite many scholars' recommendations, science is often avoided during early childhood education. Among the reasons provided by early childhood teachers for the exclusion of science from their daily routines included science anxiety, low self-efficacy with respect to teaching science, lack of experience participating in science activities as students, or the notion that literacy and language are more important during the early years. In minority populations the problem is even greater due to identification of science with the `culture of. This article presents results from Ah Neen Dush, a sustained and transformative professional development program for Head Start teachers on an American Indian Reservation. The goal of the program is to support early childhood teachers in developing inquiry-based and culturally-relevant teaching practices. Through analysis of teachers' classroom practices, surveys and interviews, we explore changes in teachers' attitudes toward science and inquiry-based practices. Classroom observations were conducted using CLASS (Classroom assessment Scoring System), a tool used to evaluate the quality of classroom interactions. After 1 year of professional development teachers' attitudes were found to improve and after 2 years teachers classroom practices were more inquiry-based with statistically significant increases in CLASS observation scores.

Developing the Evidence Base in Pediatric Oncology Nursing Practice for Promoting Health-Related Quality of Life in Pediatric Oncology Patients.

PubMed

Cantrell, Mary Ann; Conte, Teresa M; Hudson, Melissa M; Ruble, Kathy; Herth, Kaye; Shad, Aziza; Canino, Alyssa

Research has shown that self-esteem and hopefulness are positively related among female childhood cancer survivors (CCS) and contribute to their health-related quality of life (HRQOL). HRQOL remains a significant outcome of treatment for CCS. This study examined the relationships among self-esteem, hopefulness, and HRQOL in young adult female CCS to inform the development of evidence-based practice guidelines for pediatric oncology nursing practice. An online survey was conducted with a sample of young adult female CCS from 58 treatment centers across the United States at 4 time points: at baseline and at 6 weeks, 3 months, and 6 months after initial measurement time. The relationships between self-esteem, hopefulness, and HRQOL were statistically significant (Time 1, P = .05; Times 2, 3, and 4, P = .01) across all measurement times. These findings identify hopefulness and self-esteem as determinants of HRQOL and suggest that caring practices among pediatric oncology nurses that support psychosocial adjustment through promoting self-esteem and hopefulness have the potential to support HRQOL among young adult female CCS. These outcomes support the development of evidence-based practice guidelines to influence HRQOL outcomes among these survivors.

Effectiveness of a Motivation and Practical Skills Development Methods on the Oral Hygiene of Orphans Children in Kaunas, Lithuania.

PubMed

Markeviciute, Greta; Narbutaite, Julija

2015-01-01

The aim of this study was to evaluate the effect of a motivation and practical skills development methods on the oral hygiene of orphans. Sixty eight orphans aged between 7 and 17 years from two orphanages in Kaunas were divided into two groups: practical application group and motivation group. Children were clinically examined by determining their oral hygiene status using Silness-Löe plaque index. Questionnaire was used to estimate the oral hygiene knowledge and practices at baseline and after 3 months. Statistical analysis included: Chi-square test (χ(2)), Fisher's exact test, Student's t-test, nonparametric Mann-Whitney test, Spearman's rho correlation coefficient and Kappa coefficient. All children had a plaque on at least one tooth in both groups: motivation 1.14 (SD 0.51), practical application 1.08 (SD 0.4) (P = 0.58). Girls in both groups showed significantly better oral hygiene than boys (P < 0.001). After 3 months educational program oral hygiene status improved in both groups significantly 0.4 (SD 0.35) (P < 0.001). Significantly better oral hygiene was determined in practical application group 0.19 (SD 0.27) in comparison with motivation group 0.55 (SD 0.32) (P < 0.001). By comparing results of first and second questionnaire surveys on use of soft drinks, the statistically significant decline of their use was in both groups (P = 0.004). Educational programs are effective in improving oral hygiene, especially when they're based on practical skills training.

DISSCO: direct imputation of summary statistics allowing covariates

PubMed Central

Xu, Zheng; Duan, Qing; Yan, Song; Chen, Wei; Li, Mingyao; Lange, Ethan; Li, Yun

2015-01-01

Background: Imputation of individual level genotypes at untyped markers using an external reference panel of genotyped or sequenced individuals has become standard practice in genetic association studies. Direct imputation of summary statistics can also be valuable, for example in meta-analyses where individual level genotype data are not available. Two methods (DIST and ImpG-Summary/LD), that assume a multivariate Gaussian distribution for the association summary statistics, have been proposed for imputing association summary statistics. However, both methods assume that the correlations between association summary statistics are the same as the correlations between the corresponding genotypes. This assumption can be violated in the presence of confounding covariates. Methods: We analytically show that in the absence of covariates, correlation among association summary statistics is indeed the same as that among the corresponding genotypes, thus serving as a theoretical justification for the recently proposed methods. We continue to prove that in the presence of covariates, correlation among association summary statistics becomes the partial correlation of the corresponding genotypes controlling for covariates. We therefore develop direct imputation of summary statistics allowing covariates (DISSCO). Results: We consider two real-life scenarios where the correlation and partial correlation likely make practical difference: (i) association studies in admixed populations; (ii) association studies in presence of other confounding covariate(s). Application of DISSCO to real datasets under both scenarios shows at least comparable, if not better, performance compared with existing correlation-based methods, particularly for lower frequency variants. For example, DISSCO can reduce the absolute deviation from the truth by 3.9–15.2% for variants with minor allele frequency <5%. Availability and implementation: http://www.unc.edu/∼yunmli/DISSCO. Contact: yunli@med.unc.edu Supplementary information: Supplementary data are available at Bioinformatics online. PMID:25810429

DISSCO: direct imputation of summary statistics allowing covariates.

PubMed

Xu, Zheng; Duan, Qing; Yan, Song; Chen, Wei; Li, Mingyao; Lange, Ethan; Li, Yun

2015-08-01

Imputation of individual level genotypes at untyped markers using an external reference panel of genotyped or sequenced individuals has become standard practice in genetic association studies. Direct imputation of summary statistics can also be valuable, for example in meta-analyses where individual level genotype data are not available. Two methods (DIST and ImpG-Summary/LD), that assume a multivariate Gaussian distribution for the association summary statistics, have been proposed for imputing association summary statistics. However, both methods assume that the correlations between association summary statistics are the same as the correlations between the corresponding genotypes. This assumption can be violated in the presence of confounding covariates. We analytically show that in the absence of covariates, correlation among association summary statistics is indeed the same as that among the corresponding genotypes, thus serving as a theoretical justification for the recently proposed methods. We continue to prove that in the presence of covariates, correlation among association summary statistics becomes the partial correlation of the corresponding genotypes controlling for covariates. We therefore develop direct imputation of summary statistics allowing covariates (DISSCO). We consider two real-life scenarios where the correlation and partial correlation likely make practical difference: (i) association studies in admixed populations; (ii) association studies in presence of other confounding covariate(s). Application of DISSCO to real datasets under both scenarios shows at least comparable, if not better, performance compared with existing correlation-based methods, particularly for lower frequency variants. For example, DISSCO can reduce the absolute deviation from the truth by 3.9-15.2% for variants with minor allele frequency <5%. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Exploring a Model of Situated Professional Development: Impact on Classroom Practice

NASA Astrophysics Data System (ADS)

Singer, Jonathan; Lotter, Christine; Feller, Robert; Gates, Harry

2011-04-01

A hallmark of current science education reform involves teaching through inquiry. However, the widespread use of inquiry-based instruction in many classrooms has not occurred (Roehrig and Luft in Int J Sci Educ 26:3-24, 2004; Schneider et al. in J Res Sci Teach 42:283-312, 2005). The purpose of this study was to investigate the impact of a professional development program on middle school science teachers' ability to enact inquiry-based pedagogical practices. Data were generated through evaluation of teacher practice using the Reformed Teaching Observation Protocol (RTOP) (Sawada et al. in School Sci Math 102:245-253, 2002) at three distinct junctures, before, during, and after the professional development treatment. Analysis of teacher-participant post-institute reflections was then utilized to determine the perceived role of the various institute components. Statistical significant changes in RTOP scores indicated that the teachers were able to successfully transfer the enactment of the inquiry-based practices into their classrooms. The subsequent discussion provides connection between these pedagogical changes with use of professional development strategies that provide a situated learning environment.

Technical tips and advancements in pediatric minimally invasive surgical training on porcine based simulations.

PubMed

Narayanan, Sarath Kumar; Cohen, Ralph Clinton; Shun, Albert

2014-06-01

Minimal access techniques have transformed the way pediatric surgery is practiced. Due to various constraints, surgical residency programs have not been able to tutor adequate training skills in the routine setting. The advent of new technology and methods in minimally invasive surgery (MIS), has similarly contributed to the need for systematic skills' training in a safe, simulated environment. To enable the training of the proper technique among pediatric surgery trainees, we have advanced a porcine non-survival model for endoscopic surgery. The technical advancements over the past 3 years and a subjective validation of the porcine model from 114 participating trainees using a standard questionnaire and a 5-point Likert scale have been described here. Mean attitude scores and analysis of variance (ANOVA) were used for statistical analysis of the data. Almost all trainees agreed or strongly agreed that the animal-based model was appropriate (98.35%) and also acknowledged that such workshops provided adequate practical experience before attempting on human subjects (96.6%). Mean attitude score for respondents was 19.08 (SD 3.4, range 4-20). Attitude scores showed no statistical association with years of experience or the level of seniority, indicating a positive attitude among all groups of respondents. Structured porcine-based MIS training should be an integral part of skill acquisition for pediatric surgery trainees and the experience gained can be transferred into clinical practice. We advocate that laparoscopic training should begin in a controlled workshop setting before procedures are attempted on human patients.

The Capabilities of Nurses for Complementary and Traditional Medicine Integration in Africa.

PubMed

Gyasi, Razak Mohammed; Abass, Kabila; Adu-Gyamfi, Samuel; Accam, Burnett Tetteh; Nyamadi, Victoria Mensah

2018-03-01

Despite the political commitment of national governments and collaborative efforts by the World Health Organization (WHO) toward the actualization of intercultural healthcare system over the past decades, sub-Saharan African countries feature medical cohabitation rather than a truly integrated medical system. This hospital-based cross-sectional study analyzed the capabilities of nurses for complementary and traditional medicine (CTM) integration in Africa. Practicing nurses (n = 210) were recruited to respond to the CTM Health Belief Questionnaire (CHBQ) in December 2016. Normality of data was evaluated using Kolmogorov-Smirnov statistic with a Lilliefors significance correction. The authors assessed the relationship among nurses' knowledge, personal use, and clinical practice of CTM, using Spearman's Rank Order Correlation (rho). The differences and associations in continuous and categorical baseline variables were determined with Mann-Whitney U test/Kruskal-Wallis H test and Pearson's Chi-square test, respectively, at p < 0.05 as statistically significant. The overall mean score of nurses' knowledge of CTM therapies was 38 (interquartile range [IQR] 16). This low CTM-related knowledge reflected in the poor mean performance score of 30 (IQR 17) and 22 (IQR 6) for personal use and clinical practice of CTM, respectively, among nurses. Nurses, therefore, lacked the confidence to recommend CTM therapies to patients. Yet, nurses exhibited a high positive attitude to CTM (72.7 ± 12.5). In addition to significant associations among CTM-related knowledge, education (p = 0.023), and religion (p < 0.001), the study found a positive and statistically significant correlation among CTM-related knowledge, personal use (r = 0.556, p < 0.001), and professional practice of CTM (r = 0.349, p < 0.001). Given their substantial role in the primary and public healthcare system, improving nurses' knowledge of CTM through evidence-based nursing education and training remains the surest way to achieve appropriate CTM integration in Africa as outlined in the WHO Traditional Medicine Strategy 2014-2023.

Conceptual Challenges in Coordinating Theoretical and Data-Centered Estimates of Probability

ERIC Educational Resources Information Center

Konold, Cliff; Madden, Sandra; Pollatsek, Alexander; Pfannkuch, Maxine; Wild, Chris; Ziedins, Ilze; Finzer, William; Horton, Nicholas J.; Kazak, Sibel

2011-01-01

A core component of informal statistical inference is the recognition that judgments based on sample data are inherently uncertain. This implies that instruction aimed at developing informal inference needs to foster basic probabilistic reasoning. In this article, we analyze and critique the now-common practice of introducing students to both…

"DSM-5": A Commentary on Integrating Multicultural and Strength-Based Considerations into Counseling Training and Practice

ERIC Educational Resources Information Center

Tomlinson-Clarke, Saundra M.; Georges, Colleen M.

2014-01-01

The 2013 publication of the American Psychiatric Association's "Diagnostic and Statistical Manual of Mental Disorders," fifth edition ("DSM-5") marked the reemergence of issues related to the appropriateness of diagnosis and the uses of the "DSM-5" within the counseling profession. Concerns focus on the implications…

Adoption Practice in Canada: Emerging Trends and Challenges.

ERIC Educational Resources Information Center

Sobol, Michael P.; Daly, Kerry

1995-01-01

Reports the results of the National Adoption Study of Canada (NAS), which is based on demographic adoption statistics and a survey of adoption agencies and practitioners. The NAS found that between 1981 and 1990 the number of adoptions decreased by 47% and that private adoptions are accounting for an ever-increasing proportion of infant…

Breast Cancer Knowledge, Perception and Breast Self- Examination Practices among Yemeni Women: an Application of the Health Belief Model.

PubMed

Al-Sakkaf, Khaled Abdulla; Basaleem, Huda Omer

2016-01-01

The incidence of breast cancer is rapidly increasing in Yemen with recent indications of constituting one-third of female cancers. The main problem in Yemen remains very late presentation of breast cancer, most of which should have been easily recognisable. Since stage of disease at diagnosis is the most important prognostic variable, early diagnosis is an important option to be considered for control of breast cancer in low resourced settings like Yemen. In the present study, we aimed at describing breast cancer knowledge, perceptions and breast self-examination (BSE) practices among a sample of Yemeni women. This cross-sectional study covered 400 women attending four reproductive health centres in Aden, Yemen through face-to-face interview using a structured questionnaire during April - July 2014. We collected data on sociodemographic characteristics, knowledge about breast cancer, and screening practices as well as respondents' perceptions based on the five sub scales of the Health Belief Model (HBM): perceived susceptibility; perceived severity; perceived barriers; perceived benefits; and self-efficacy. The response format was a fivepoint Likert scale. Statistical Package for Social Sciences (SPSS 20) was used for statistical analysis. Statistical significance was set at p<0.05. Logistic regression analysis was conducted with BSE as a dependent variable. The mean age of women was 26.5 (S.D=5.6) years. The majority (89.0%) had never ever performed any screening. Two-thirds of respondents had poor knowledge. Perceived BSE benefits and self-efficacy and lower BSE barriers perception were significant independent predictors of BSE practice. Poor knowledge and inadequate BSE practices are prevailing in Yemen. The need for implementing culturally sensitive targeted education measures is mandatory in the effort to improve early detection and reduce the burden of breast cancer.

Margins of freedom: a field-theoretic approach to class-based health dispositions and practices.

PubMed

Burnett, Patrick John; Veenstra, Gerry

2017-09-01

Pierre Bourdieu's theory of practice situates social practices in the relational interplay between experiential mental phenomena (habitus), resources (capitals) and objective social structures (fields). When applied to class-based practices in particular, the overarching field of power within which social classes are potentially made manifest is the primary field of interest. Applying relational statistical techniques to original survey data from Toronto and Vancouver, Canada, we investigated whether smoking, engaging in physical activity and consuming fruit and vegetables are dispersed in a three-dimensional field of power shaped by economic and cultural capitals and cultural dispositions and practices. We find that aesthetic dispositions and flexibility of developing and established dispositions are associated with positioning in the Canadian field of power and embedded in the logics of the health practices dispersed in the field. From this field-theoretic perspective, behavioural change requires the disruption of existing relations of harmony between the habitus of agents, the fields within which the practices are enacted and the capitals that inform and enforce the mores and regularities of the fields. The three-dimensional model can be explored at: http://relational-health.ca/margins-freedom. © 2017 Foundation for the Sociology of Health & Illness.

Online Denoising Based on the Second-Order Adaptive Statistics Model.

PubMed

Yi, Sheng-Lun; Jin, Xue-Bo; Su, Ting-Li; Tang, Zhen-Yun; Wang, Fa-Fa; Xiang, Na; Kong, Jian-Lei

2017-07-20

Online denoising is motivated by real-time applications in the industrial process, where the data must be utilizable soon after it is collected. Since the noise in practical process is usually colored, it is quite a challenge for denoising techniques. In this paper, a novel online denoising method was proposed to achieve the processing of the practical measurement data with colored noise, and the characteristics of the colored noise were considered in the dynamic model via an adaptive parameter. The proposed method consists of two parts within a closed loop: the first one is to estimate the system state based on the second-order adaptive statistics model and the other is to update the adaptive parameter in the model using the Yule-Walker algorithm. Specifically, the state estimation process was implemented via the Kalman filter in a recursive way, and the online purpose was therefore attained. Experimental data in a reinforced concrete structure test was used to verify the effectiveness of the proposed method. Results show the proposed method not only dealt with the signals with colored noise, but also achieved a tradeoff between efficiency and accuracy.

Structured journal club as a tool to teach and assess resident competence in practice-based learning and improvement.

PubMed

Lee, Andrew G; Boldt, H Culver; Golnik, Karl C; Arnold, Anthony C; Oetting, Thomas A; Beaver, Hilary A; Olson, Richard J; Zimmerman, M Bridget; Carter, Keith

2006-03-01

To describe the use of the journal club as a tool to teach and assess competency in practice-based learning (PBL) and improvement among residents in ophthalmology. Interventional case series. Ophthalmology residents. Three academic ophthalmology residency programs in the United States. A survey was performed of self-assessed skills in PBL among residents in ophthalmology training before and after the implementation of a structured review checklist during a traditional resident journal club. The survey had 5 domains, including (A) appraise and assimilate evidence, (B) read a journal article critically, (C) use a systematic and standardized checklist, (D) apply knowledge of study designs and statistical methods, and (E) maintain a self-documented written record of compliance. The respondents scored their ability (range, 1-5). The use of a structured journal club tool was associated with a statistically significant improvement in self-assessed ability in all 5 domains. Although validity, reliability, and long-term efficacy studies are necessary, the structured journal club is one method of teaching and assessing resident competency in PBL and improvement.

A powerful score-based test statistic for detecting gene-gene co-association.

PubMed

Xu, Jing; Yuan, Zhongshang; Ji, Jiadong; Zhang, Xiaoshuai; Li, Hongkai; Wu, Xuesen; Xue, Fuzhong; Liu, Yanxun

2016-01-29

The genetic variants identified by Genome-wide association study (GWAS) can only account for a small proportion of the total heritability for complex disease. The existence of gene-gene joint effects which contains the main effects and their co-association is one of the possible explanations for the "missing heritability" problems. Gene-gene co-association refers to the extent to which the joint effects of two genes differ from the main effects, not only due to the traditional interaction under nearly independent condition but the correlation between genes. Generally, genes tend to work collaboratively within specific pathway or network contributing to the disease and the specific disease-associated locus will often be highly correlated (e.g. single nucleotide polymorphisms (SNPs) in linkage disequilibrium). Therefore, we proposed a novel score-based statistic (SBS) as a gene-based method for detecting gene-gene co-association. Various simulations illustrate that, under different sample sizes, marginal effects of causal SNPs and co-association levels, the proposed SBS has the better performance than other existed methods including single SNP-based and principle component analysis (PCA)-based logistic regression model, the statistics based on canonical correlations (CCU), kernel canonical correlation analysis (KCCU), partial least squares path modeling (PLSPM) and delta-square (δ (2)) statistic. The real data analysis of rheumatoid arthritis (RA) further confirmed its advantages in practice. SBS is a powerful and efficient gene-based method for detecting gene-gene co-association.

The Impact of Library Tutorials on the Information Literacy Skills of Occupational Therapy and Physical Therapy Students in an Evidence-Based Practice Course: A Rubric Assessment.

PubMed

Schweikhard, April J; Hoberecht, Toni; Peterson, Alyssa; Randall, Ken

2018-01-01

This study measures how online library instructional tutorials implemented into an evidence-based practice course have impacted the information literacy skills of occupational and physical therapy graduate students. Through a rubric assessment of final course papers, this study compares differences in students' search strategies and cited sources pre- and post-implementation of the tutorials. The population includes 180 randomly selected graduate students from before and after the library tutorials were introduced into the course curriculum. Results indicate a statistically significant increase in components of students' searching skills and ability to find higher levels of evidence after completing the library tutorials.

Sampling methods to the statistical control of the production of blood components.

PubMed

Pereira, Paulo; Seghatchian, Jerard; Caldeira, Beatriz; Santos, Paula; Castro, Rosa; Fernandes, Teresa; Xavier, Sandra; de Sousa, Gracinda; de Almeida E Sousa, João Paulo

2017-12-01

The control of blood components specifications is a requirement generalized in Europe by the European Commission Directives and in the US by the AABB standards. The use of a statistical process control methodology is recommended in the related literature, including the EDQM guideline. The control reliability is dependent of the sampling. However, a correct sampling methodology seems not to be systematically applied. Commonly, the sampling is intended to comply uniquely with the 1% specification to the produced blood components. Nevertheless, on a purely statistical viewpoint, this model could be argued not to be related to a consistent sampling technique. This could be a severe limitation to detect abnormal patterns and to assure that the production has a non-significant probability of producing nonconforming components. This article discusses what is happening in blood establishments. Three statistical methodologies are proposed: simple random sampling, sampling based on the proportion of a finite population, and sampling based on the inspection level. The empirical results demonstrate that these models are practicable in blood establishments contributing to the robustness of sampling and related statistical process control decisions for the purpose they are suggested for. Copyright © 2017 Elsevier Ltd. All rights reserved.

Effect of Internet-Based Cognitive Apprenticeship Model (i-CAM) on Statistics Learning among Postgraduate Students

PubMed Central

Saadati, Farzaneh; Ahmad Tarmizi, Rohani

2015-01-01

Because students’ ability to use statistics, which is mathematical in nature, is one of the concerns of educators, embedding within an e-learning system the pedagogical characteristics of learning is ‘value added’ because it facilitates the conventional method of learning mathematics. Many researchers emphasize the effectiveness of cognitive apprenticeship in learning and problem solving in the workplace. In a cognitive apprenticeship learning model, skills are learned within a community of practitioners through observation of modelling and then practice plus coaching. This study utilized an internet-based Cognitive Apprenticeship Model (i-CAM) in three phases and evaluated its effectiveness for improving statistics problem-solving performance among postgraduate students. The results showed that, when compared to the conventional mathematics learning model, the i-CAM could significantly promote students’ problem-solving performance at the end of each phase. In addition, the combination of the differences in students' test scores were considered to be statistically significant after controlling for the pre-test scores. The findings conveyed in this paper confirmed the considerable value of i-CAM in the improvement of statistics learning for non-specialized postgraduate students. PMID:26132553

Dealing with missing standard deviation and mean values in meta-analysis of continuous outcomes: a systematic review.

PubMed

Weir, Christopher J; Butcher, Isabella; Assi, Valentina; Lewis, Stephanie C; Murray, Gordon D; Langhorne, Peter; Brady, Marian C

2018-03-07

Rigorous, informative meta-analyses rely on availability of appropriate summary statistics or individual participant data. For continuous outcomes, especially those with naturally skewed distributions, summary information on the mean or variability often goes unreported. While full reporting of original trial data is the ideal, we sought to identify methods for handling unreported mean or variability summary statistics in meta-analysis. We undertook two systematic literature reviews to identify methodological approaches used to deal with missing mean or variability summary statistics. Five electronic databases were searched, in addition to the Cochrane Colloquium abstract books and the Cochrane Statistics Methods Group mailing list archive. We also conducted cited reference searching and emailed topic experts to identify recent methodological developments. Details recorded included the description of the method, the information required to implement the method, any underlying assumptions and whether the method could be readily applied in standard statistical software. We provided a summary description of the methods identified, illustrating selected methods in example meta-analysis scenarios. For missing standard deviations (SDs), following screening of 503 articles, fifteen methods were identified in addition to those reported in a previous review. These included Bayesian hierarchical modelling at the meta-analysis level; summary statistic level imputation based on observed SD values from other trials in the meta-analysis; a practical approximation based on the range; and algebraic estimation of the SD based on other summary statistics. Following screening of 1124 articles for methods estimating the mean, one approximate Bayesian computation approach and three papers based on alternative summary statistics were identified. Illustrative meta-analyses showed that when replacing a missing SD the approximation using the range minimised loss of precision and generally performed better than omitting trials. When estimating missing means, a formula using the median, lower quartile and upper quartile performed best in preserving the precision of the meta-analysis findings, although in some scenarios, omitting trials gave superior results. Methods based on summary statistics (minimum, maximum, lower quartile, upper quartile, median) reported in the literature facilitate more comprehensive inclusion of randomised controlled trials with missing mean or variability summary statistics within meta-analyses.

Evidence based vaccinology.

PubMed

Nalin, David R

2002-02-22

Evidence based vaccinology (EBV) is the identification and use of the best evidence in making and implementing decisions during all of the stages of the life of a vaccine, including pre-licensure vaccine development and post-licensure manufacture and research, and utilization of the vaccine for disease control. Vaccines, unlike most pharmaceuticals, are in a continuous process of development both before and after licensure. Changes in biologics manufacturing technology and changes that vaccines induce in population and disease biology lead to periodic review of regimens (and sometimes dosage) based on changing immunologic data or public perceptions relevant to vaccine safety and effectiveness. EBV includes the use of evidence based medicine (EBM) both in clinical trials and in national disease containment programs. The rationale for EBV is that the highest evidentiary standards are required to maintain a rigorous scientific basis of vaccine quality control in manufacture and to ensure valid determination of vaccine efficacy, field effectiveness and safety profiles (including post-licensure safety monitoring), cost-benefit analyses, and risk:benefit ratios. EBV is increasingly based on statistically validated, clearly defined laboratory, manufacturing, clinical and epidemiological research methods and procedures, codified as good laboratory practices (GLP), good manufacturing practices (GMP), good clinical research practices (GCRP) and in clinical and public health practice (good vaccination practices, GVP). Implementation demands many data-driven decisions made by a spectrum of specialists pre- and post-licensure, and is essential to maintaining public confidence in vaccines.

Family-centred care delivery

PubMed Central

Mayo-Bruinsma, Liesha; Hogg, William; Taljaard, Monica; Dahrouge, Simone

2013-01-01

Abstract Objective To determine whether models of primary care service delivery differ in their provision of family-centred care (FCC) and to identify practice characteristics associated with FCC. Design Cross-sectional study. Setting Primary care practices in Ontario (ie, 35 salaried community health centres, 35 fee-for-service practices, 32 capitation-based health service organizations, and 35 blended remuneration family health networks) that belong to 4 models of primary care service delivery. Participants A total of 137 practices, 363 providers, and 5144 patients. Main outcome measures Measures of FCC in patient and provider surveys were based on the Primary Care Assessment Tool. Statistical analyses were conducted using linear mixed regression models and generalized estimating equations. Results Patient-reported FCC scores were high and did not vary significantly by primary care model. Larger panel size in a practice was associated with lower odds of patients reporting FCC. Provider-reported FCC scores were significantly higher in community health centres than in family health networks (P = .035). A larger number of nurse practitioners and clinical services on-site were both associated with higher FCC scores, while scores decreased as the number of family physicians in a practice increased and if practices were more rural. Conclusion Based on provider and patient reports, primary care reform strategies that encourage larger practices and more patients per family physician might compromise the provision of FCC, while strategies that encourage multidisciplinary practices and a range of services might increase FCC. PMID:24235195

Power, effects, confidence, and significance: an investigation of statistical practices in nursing research.

PubMed

Gaskin, Cadeyrn J; Happell, Brenda

2014-05-01

To (a) assess the statistical power of nursing research to detect small, medium, and large effect sizes; (b) estimate the experiment-wise Type I error rate in these studies; and (c) assess the extent to which (i) a priori power analyses, (ii) effect sizes (and interpretations thereof), and (iii) confidence intervals were reported. Statistical review. Papers published in the 2011 volumes of the 10 highest ranked nursing journals, based on their 5-year impact factors. Papers were assessed for statistical power, control of experiment-wise Type I error, reporting of a priori power analyses, reporting and interpretation of effect sizes, and reporting of confidence intervals. The analyses were based on 333 papers, from which 10,337 inferential statistics were identified. The median power to detect small, medium, and large effect sizes was .40 (interquartile range [IQR]=.24-.71), .98 (IQR=.85-1.00), and 1.00 (IQR=1.00-1.00), respectively. The median experiment-wise Type I error rate was .54 (IQR=.26-.80). A priori power analyses were reported in 28% of papers. Effect sizes were routinely reported for Spearman's rank correlations (100% of papers in which this test was used), Poisson regressions (100%), odds ratios (100%), Kendall's tau correlations (100%), Pearson's correlations (99%), logistic regressions (98%), structural equation modelling/confirmatory factor analyses/path analyses (97%), and linear regressions (83%), but were reported less often for two-proportion z tests (50%), analyses of variance/analyses of covariance/multivariate analyses of variance (18%), t tests (8%), Wilcoxon's tests (8%), Chi-squared tests (8%), and Fisher's exact tests (7%), and not reported for sign tests, Friedman's tests, McNemar's tests, multi-level models, and Kruskal-Wallis tests. Effect sizes were infrequently interpreted. Confidence intervals were reported in 28% of papers. The use, reporting, and interpretation of inferential statistics in nursing research need substantial improvement. Most importantly, researchers should abandon the misleading practice of interpreting the results from inferential tests based solely on whether they are statistically significant (or not) and, instead, focus on reporting and interpreting effect sizes, confidence intervals, and significance levels. Nursing researchers also need to conduct and report a priori power analyses, and to address the issue of Type I experiment-wise error inflation in their studies. Crown Copyright © 2013. Published by Elsevier Ltd. All rights reserved.

Adherence to best practice consensus guidelines for implant-based breast reconstruction: Results from the iBRA national practice questionnaire survey.

PubMed

Mylvaganam, Senthurun; Conroy, Elizabeth J; Williamson, Paula R; Barnes, Nicola L P; Cutress, Ramsey I; Gardiner, Matthew D; Jain, Abhilash; Skillman, Joanna M; Thrush, Steven; Whisker, Lisa J; Blazeby, Jane M; Potter, Shelley; Holcombe, Christopher

2018-05-01

The 2008 National Mastectomy and Breast Reconstruction Audit demonstrated marked variation in the practice and outcomes of breast reconstruction in the UK. To standardise practice and improve outcomes for patients, the British professional associations developed best-practice guidelines with specific guidance for newer mesh-assisted implant-based techniques. We explored the degree of uptake of best-practice guidelines within units performing implant-based reconstruction (IBBR) as the first phase of the implant Breast Reconstruction Evaluation (iBRA) study. A questionnaire developed by the iBRA Steering Group was completed by trainee and consultant leads at breast and plastic surgical units across the UK. Simple summary statistics were calculated for each survey item to assess compliance with current best-practice guidelines. 81 units from 79 NHS Trusts completed the questionnaire. Marked variation was observed in adherence to guidelines, especially those relating to clinical governance and infection prevention strategies. Less than half (n = 28, 47%) of units obtained local clinical governance board approval prior to offering new mesh-based techniques and prospective audit of the clinical, cosmetic and patient-reported outcomes of surgery was infrequent. Most units screened for methicillin-resistant staphylococcus aureus prior to surgery but fewer than 1 in 3 screened for methicillin-sensitive strains. Laminar-flow theatres (recommended for IBBR) were not widely-available with less than 1 in 5 units having regular access. Peri-operative antibiotics were widely-used, but the type and duration were highly-variable. The iBRA national practice questionnaire has demonstrated variation in reported practice and adherence to IBBR guidelines. High-quality evidence is urgently required to inform best practice. Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

A new statistical approach to climate change detection and attribution

NASA Astrophysics Data System (ADS)

Ribes, Aurélien; Zwiers, Francis W.; Azaïs, Jean-Marc; Naveau, Philippe

2017-01-01

We propose here a new statistical approach to climate change detection and attribution that is based on additive decomposition and simple hypothesis testing. Most current statistical methods for detection and attribution rely on linear regression models where the observations are regressed onto expected response patterns to different external forcings. These methods do not use physical information provided by climate models regarding the expected response magnitudes to constrain the estimated responses to the forcings. Climate modelling uncertainty is difficult to take into account with regression based methods and is almost never treated explicitly. As an alternative to this approach, our statistical model is only based on the additivity assumption; the proposed method does not regress observations onto expected response patterns. We introduce estimation and testing procedures based on likelihood maximization, and show that climate modelling uncertainty can easily be accounted for. Some discussion is provided on how to practically estimate the climate modelling uncertainty based on an ensemble of opportunity. Our approach is based on the " models are statistically indistinguishable from the truth" paradigm, where the difference between any given model and the truth has the same distribution as the difference between any pair of models, but other choices might also be considered. The properties of this approach are illustrated and discussed based on synthetic data. Lastly, the method is applied to the linear trend in global mean temperature over the period 1951-2010. Consistent with the last IPCC assessment report, we find that most of the observed warming over this period (+0.65 K) is attributable to anthropogenic forcings (+0.67 ± 0.12 K, 90 % confidence range), with a very limited contribution from natural forcings (-0.01± 0.02 K).

Increased Adoption of Quality Improvement Interventions to Implement Evidence-Based Practices for Pressure Ulcer Prevention in U.S. Academic Medical Centers.

PubMed

Padula, William V; Mishra, Manish K; Makic, Mary Beth F; Wald, Heidi L; Campbell, Jonathan D; Nair, Kavita V; Valuck, Robert J

2015-12-01

In 2008, the U.S. Centers for Medicare and Medicaid Services enacted a nonpayment policy for stage III and IV hospital-acquired pressure ulcers (HAPUs), which incentivized hospitals to improve prevention efforts. In response, hospitals looked for ways to support implementation of evidence-based practices for HAPU prevention, such as adoption of quality improvement (QI) interventions. The objective of this study was to quantify adoption patterns of QI interventions for supporting evidence-based practices for HAPU prevention. This study surveyed wound care specialists working at hospitals within the University HealthSystem Consortium. A questionnaire was used to retrospectively describe QI adoption patterns according to 25 HAPU-specific QI interventions into four domains: leadership, staff, information technology (IT), and performance and improvement. Respondents indicated QI interventions implemented between 2007 and 2012 to the nearest quarter and year. Descriptive statistics defined patterns of QI adoption. A t-test and statistical process control chart established statistically significant increase in adoption following nonpayment policy enactment in October 2008. Increase are described in terms of scope (number of QI domains employed) and scale (number of QI interventions within domains). Fifty-three of the 55 hospitals surveyed reported implementing QI interventions for HAPU prevention. Leadership interventions were most frequent, increasing in scope from 40% to 63% between 2008 and 2012; "annual programs to promote pressure ulcer prevention" showed the greatest increase in scale. Staff interventions increased in scope from 32% to 53%; "frequent consult driven huddles" showed the greatest increase in scale. IT interventions increased in scope from 31% to 55%. Performance and improvement interventions increased in scope from 18% to 40%, with "new skin care products . . ." increasing the most. Academic medical centers increased adoption of QI interventions following changes in nonpayment policy. These QI interventions supported adherence to implementation of pressure ulcer prevention protocols. Changes in payment policies for prevention are effective in QI efforts. © 2015 Sigma Theta Tau International.

Making COD statistics useful for public health at local level in the city of Cape Town: utilidad para la salud pública a nivel local en Ciudad del Cabo.

PubMed Central

Bradshaw, Debbie; Groenewald, Pamela; Bourne, David E.; Mahomed, Hassan; Nojilana, Beatrice; Daniels, Johan; Nixon, Jo

2006-01-01

OBJECTIVE: To review the quality of the coding of the cause of death (COD) statistics and assess the mortality information needs of the City of Cape Town. METHODS: Using an action research approach, a study was set up to investigate the quality of COD information, the accuracy of COD coding and consistency of coding practices in the larger health subdistricts. Mortality information needs and the best way of presenting the statistics to assist health managers were explored. FINDINGS: Useful information was contained in 75% of death certificates, but nearly 60% had only a single cause certified; 55% of forms were coded accurately. Disagreement was mainly because routine coders coded the immediate instead of the underlying COD. An abridged classification of COD, based on causes of public health importance, prevalent causes and selected combinations of diseases was implemented with training on underlying cause. Analysis of the 2001 data identified the leading causes of death and premature mortality and illustrated striking differences in the disease burden and profile between health subdistricts. CONCLUSION: Action research is particularly useful for improving information systems and revealed the need to standardize the coding practice to identify underlying cause. The specificity of the full ICD classification is beyond the level of detail on the death certificates currently available. An abridged classification for coding provides a practical tool appropriate for local level public health surveillance. Attention to the presentation of COD statistics is important to enable the data to inform decision-makers. PMID:16583080

Making COD statistics useful for public health at local level in the city of Cape Town: utilidad para la salud pública a nivel local en Ciudad del Cabo.

PubMed

Bradshaw, Debbie; Groenewald, Pamela; Bourne, David E; Mahomed, Hassan; Nojilana, Beatrice; Daniels, Johan; Nixon, Jo

2006-03-01

To review the quality of the coding of the cause of death (COD) statistics and assess the mortality information needs of the City of Cape Town. Using an action research approach, a study was set up to investigate the quality of COD information, the accuracy of COD coding and consistency of coding practices in the larger health subdistricts. Mortality information needs and the best way of presenting the statistics to assist health managers were explored. Useful information was contained in 75% of death certificates, but nearly 60% had only a single cause certified; 55% of forms were coded accurately. Disagreement was mainly because routine coders coded the immediate instead of the underlying COD. An abridged classification of COD, based on causes of public health importance, prevalent causes and selected combinations of diseases was implemented with training on underlying cause. Analysis of the 2001 data identified the leading causes of death and premature mortality and illustrated striking differences in the disease burden and profile between health subdistricts. Action research is particularly useful for improving information systems and revealed the need to standardize the coding practice to identify underlying cause. The specificity of the full ICD classification is beyond the level of detail on the death certificates currently available. An abridged classification for coding provides a practical tool appropriate for local level public health surveillance. Attention to the presentation of COD statistics is important to enable the data to inform decision-makers.

Practice variation in the transfer of premature infants from incubators to open cots in Australian and New Zealand neonatal nurseries: results of an electronic survey.

PubMed

New, Karen; Bogossian, Fiona; East, Christine; Davies, Mark William

2010-06-01

The incubator environment is essential for optimal physiological functioning and development of the premature infant but the infant is ultimately required to make a successful transfer from incubator to open cot in order to be discharged from hospital. Criteria for transfer lack a systematic approach because no clear, specific guideline predominates in clinical practice. Practice variation exists between continents, regions and nurseries in the same countries, but there is no recent review of current practices utilised for transferring premature infants from incubators to open cots. To document current practice for transferring premature infants to open cots in neonatal nurseries. A descriptive, cross-sectional survey. Twenty-two neonatal intensive care units and fifty-six high dependency special care baby units located in public hospitals in Australia and New Zealand. A sample of 78 key clinical nursing leaders (nurse unit managers, clinical nurse consultants or clinical nurse specialists) within neonatal nurseries identified through email or telephone contact. Data were collected using a web-based survey on practice, decision-making and strategies utilised for transferring premature infants from incubators to open cots. Descriptive statistics (frequencies and crosstabs) were used to analyse data. Comparisons between groups were tested for statistical significance using Chi-squared or Fisher's exact test. Significant practice variation between countries was found for only one variable, nursing infants clothed (p=0.011). Processes and practices undertaken similarly in both countries include use of incubator air control mode, current weight criterion, thermal challenging, single-walled incubators and heated mattress systems. Practice variation was significant between neonatal intensive care units and special care baby units for weight range (p=0.005), evidence-based practice (p=0.004), historical nursery practice (p=0.029) and incubator air control mode (p=0.001). Differences in these variables were also found between nurseries in metropolitan and rural locations. Practice variation exists however; many practices are uniformly performed throughout neonatal nurseries in Australian and New Zealand. Commonality was seen between countries and in nurseries with a neonatal intensive care unit. Variation was significant between neonatal intensive care units and special care baby units and nurseries in metropolitan and rural locations. (c) 2009 Elsevier Ltd. All rights reserved.

The role of causal criteria in causal inferences: Bradford Hill's "aspects of association".

PubMed

Ward, Andrew C

2009-06-17

As noted by Wesley Salmon and many others, causal concepts are ubiquitous in every branch of theoretical science, in the practical disciplines and in everyday life. In the theoretical and practical sciences especially, people often base claims about causal relations on applications of statistical methods to data. However, the source and type of data place important constraints on the choice of statistical methods as well as on the warrant attributed to the causal claims based on the use of such methods. For example, much of the data used by people interested in making causal claims come from non-experimental, observational studies in which random allocations to treatment and control groups are not present. Thus, one of the most important problems in the social and health sciences concerns making justified causal inferences using non-experimental, observational data. In this paper, I examine one method of justifying such inferences that is especially widespread in epidemiology and the health sciences generally - the use of causal criteria. I argue that while the use of causal criteria is not appropriate for either deductive or inductive inferences, they do have an important role to play in inferences to the best explanation. As such, causal criteria, exemplified by what Bradford Hill referred to as "aspects of [statistical] associations", have an indispensible part to play in the goal of making justified causal claims.

The role of causal criteria in causal inferences: Bradford Hill's "aspects of association"

PubMed Central

Ward, Andrew C

2009-01-01

As noted by Wesley Salmon and many others, causal concepts are ubiquitous in every branch of theoretical science, in the practical disciplines and in everyday life. In the theoretical and practical sciences especially, people often base claims about causal relations on applications of statistical methods to data. However, the source and type of data place important constraints on the choice of statistical methods as well as on the warrant attributed to the causal claims based on the use of such methods. For example, much of the data used by people interested in making causal claims come from non-experimental, observational studies in which random allocations to treatment and control groups are not present. Thus, one of the most important problems in the social and health sciences concerns making justified causal inferences using non-experimental, observational data. In this paper, I examine one method of justifying such inferences that is especially widespread in epidemiology and the health sciences generally – the use of causal criteria. I argue that while the use of causal criteria is not appropriate for either deductive or inductive inferences, they do have an important role to play in inferences to the best explanation. As such, causal criteria, exemplified by what Bradford Hill referred to as "aspects of [statistical] associations", have an indispensible part to play in the goal of making justified causal claims. PMID:19534788

A heuristic statistical stopping rule for iterative reconstruction in emission tomography.

PubMed

Ben Bouallègue, F; Crouzet, J F; Mariano-Goulart, D

2013-01-01

We propose a statistical stopping criterion for iterative reconstruction in emission tomography based on a heuristic statistical description of the reconstruction process. The method was assessed for MLEM reconstruction. Based on Monte-Carlo numerical simulations and using a perfectly modeled system matrix, our method was compared with classical iterative reconstruction followed by low-pass filtering in terms of Euclidian distance to the exact object, noise, and resolution. The stopping criterion was then evaluated with realistic PET data of a Hoffman brain phantom produced using the GATE platform for different count levels. The numerical experiments showed that compared with the classical method, our technique yielded significant improvement of the noise-resolution tradeoff for a wide range of counting statistics compatible with routine clinical settings. When working with realistic data, the stopping rule allowed a qualitatively and quantitatively efficient determination of the optimal image. Our method appears to give a reliable estimation of the optimal stopping point for iterative reconstruction. It should thus be of practical interest as it produces images with similar or better quality than classical post-filtered iterative reconstruction with a mastered computation time.

Interpretation of lung cancer study outcomes.

PubMed

Cortinovis, Diego; Abbate, Marida; Bidoli, Paolo; Pelizzoni, Davide; Canova, Stefania

2015-11-01

Lung cancer is the leading cause of cancer death in developed countries. However, in the last few years we observed an important acceleration in drug development due to oncogenic driver tumors discovery. Sharing and putting together preclinical data from benchmark and data from clinical research is the scientific paradigm that allows real breakthrough in clinical practice in this field, but only a few targeted agents are worthy and practice changing. The clinical research and proper use of statistical methodology are the pillars to continue to achieve important goals like improvement of overall survival. A good medical oncologist should be able to critically read a scientific paper and move from the observed outcomes into clinical perspective. Despite clinical improvements, sometimes the union of promising targeted agents and optimistic expectations misrepresent the reality and the value of clinical research. In this article, we try to analyze the meaning of statistical assumptions from clinical trials, especially in lung cancer, through a critical review of the concept of value-based medicine. We also attempt to give the reader some practical tools to weigh scientific value of literature reports.

How do clinicians actually use the Diagnostic and Statistical Manual of Mental Disorders in clinical practice and why we need to know more.

PubMed

First, Michael B; Bhat, Venkat; Adler, David; Dixon, Lisa; Goldman, Beth; Koh, Steve; Levine, Bruce; Oslin, David; Siris, Sam

2014-12-01

The clinical use of the Diagnostic and Statistical Manual of Mental Disorders (DSM) is explicitly stated as a goal for both the DSM Fourth Edition and DSM Fifth Edition (DSM-5) revisions. Many uses assume a relatively faithful application of the DSM diagnostic definitions. However, studies demonstrate significant discrepancies between clinical psychiatric diagnoses with those made using structured interviews suggesting that clinicians do not systematically apply the diagnostic criteria. The limited information regarding how clinicians actually use the DSM raises important questions: a) How can the clinical use be improved without first having a baseline assessment? b) How can potentially significant shifts in practice patterns based on wording changes be assessed without knowing the extent to which the criteria are used as written? Given the American Psychiatric Association's plans for interim revisions to the DSM-5, the value of a detailed exploration of its actual use in clinical practice remains a significant ongoing concern and deserves further study including a number of survey and in vivo studies.

No-Reference Video Quality Assessment Based on Statistical Analysis in 3D-DCT Domain.

PubMed

Li, Xuelong; Guo, Qun; Lu, Xiaoqiang

2016-05-13

It is an important task to design models for universal no-reference video quality assessment (NR-VQA) in multiple video processing and computer vision applications. However, most existing NR-VQA metrics are designed for specific distortion types which are not often aware in practical applications. A further deficiency is that the spatial and temporal information of videos is hardly considered simultaneously. In this paper, we propose a new NR-VQA metric based on the spatiotemporal natural video statistics (NVS) in 3D discrete cosine transform (3D-DCT) domain. In the proposed method, a set of features are firstly extracted based on the statistical analysis of 3D-DCT coefficients to characterize the spatiotemporal statistics of videos in different views. These features are used to predict the perceived video quality via the efficient linear support vector regression (SVR) model afterwards. The contributions of this paper are: 1) we explore the spatiotemporal statistics of videos in 3DDCT domain which has the inherent spatiotemporal encoding advantage over other widely used 2D transformations; 2) we extract a small set of simple but effective statistical features for video visual quality prediction; 3) the proposed method is universal for multiple types of distortions and robust to different databases. The proposed method is tested on four widely used video databases. Extensive experimental results demonstrate that the proposed method is competitive with the state-of-art NR-VQA metrics and the top-performing FR-VQA and RR-VQA metrics.

Statistical power and optimal design in experiments in which samples of participants respond to samples of stimuli.

PubMed

Westfall, Jacob; Kenny, David A; Judd, Charles M

2014-10-01

Researchers designing experiments in which a sample of participants responds to a sample of stimuli are faced with difficult questions about optimal study design. The conventional procedures of statistical power analysis fail to provide appropriate answers to these questions because they are based on statistical models in which stimuli are not assumed to be a source of random variation in the data, models that are inappropriate for experiments involving crossed random factors of participants and stimuli. In this article, we present new methods of power analysis for designs with crossed random factors, and we give detailed, practical guidance to psychology researchers planning experiments in which a sample of participants responds to a sample of stimuli. We extensively examine 5 commonly used experimental designs, describe how to estimate statistical power in each, and provide power analysis results based on a reasonable set of default parameter values. We then develop general conclusions and formulate rules of thumb concerning the optimal design of experiments in which a sample of participants responds to a sample of stimuli. We show that in crossed designs, statistical power typically does not approach unity as the number of participants goes to infinity but instead approaches a maximum attainable power value that is possibly small, depending on the stimulus sample. We also consider the statistical merits of designs involving multiple stimulus blocks. Finally, we provide a simple and flexible Web-based power application to aid researchers in planning studies with samples of stimuli.

Principles of Statistics: What the Sports Medicine Professional Needs to Know.

PubMed

Riemann, Bryan L; Lininger, Monica R

2018-07-01

Understanding the results and statistics reported in original research remains a large challenge for many sports medicine practitioners and, in turn, may be among one of the biggest barriers to integrating research into sports medicine practice. The purpose of this article is to provide minimal essentials a sports medicine practitioner needs to know about interpreting statistics and research results to facilitate the incorporation of the latest evidence into practice. Topics covered include the difference between statistical significance and clinical meaningfulness; effect sizes and confidence intervals; reliability statistics, including the minimal detectable difference and minimal important difference; and statistical power. Copyright © 2018 Elsevier Inc. All rights reserved.

Historical Origins of Statistical Testing Practices: The Treatment of Fisher versus Neyman-Pearson Views in Textbooks.

ERIC Educational Resources Information Center

Huberty, Carl J.

1993-01-01

Twenty-eight books published from 1910 to 1949, 19 books published from 1990 to 1992, and 5 multiple edition books were reviewed to examine the presentations of statistical testing, particularly coverage of the p-value and fixed-alpha approaches. Statistical testing itself is not at fault, but some textbook presentations, testing practices, and…

Best Practices in Teaching Statistics and Research Methods in the Behavioral Sciences [with CD-ROM

ERIC Educational Resources Information Center

Dunn, Dana S., Ed.; Smith, Randolph A., Ed.; Beins, Barney, Ed.

2007-01-01

This book provides a showcase for "best practices" in teaching statistics and research methods in two- and four-year colleges and universities. A helpful resource for teaching introductory, intermediate, and advanced statistics and/or methods, the book features coverage of: (1) ways to integrate these courses; (2) how to promote ethical conduct;…

Multiscale Structure of UXO Site Characterization: Spatial Estimation and Uncertainty Quantification

DOE Office of Scientific and Technical Information (OSTI.GOV)

Ostrouchov, George; Doll, William E.; Beard, Les P.

2009-01-01

Unexploded ordnance (UXO) site characterization must consider both how the contamination is generated and how we observe that contamination. Within the generation and observation processes, dependence structures can be exploited at multiple scales. We describe a conceptual site characterization process, the dependence structures available at several scales, and consider their statistical estimation aspects. It is evident that most of the statistical methods that are needed to address the estimation problems are known but their application-specific implementation may not be available. We demonstrate estimation at one scale and propose a representation for site contamination intensity that takes full account of uncertainty,more » is flexible enough to answer regulatory requirements, and is a practical tool for managing detailed spatial site characterization and remediation. The representation is based on point process spatial estimation methods that require modern computational resources for practical application. These methods have provisions for including prior and covariate information.« less

[Digital radiography in young children. Considerations based on experiences in practice].

PubMed

Berkhout, W E R; Mileman, P A; Weerheijm, K L

2004-10-01

In dentistry, digital radiology techniques, such as a charge-coupled device and a storage phosphor plate, are gaining popularity. It was the objective of this study to assess the importance of the advantages and disadvantages of digital radiology techniques for bitewing radiography in young children, when compared to conventional film. A group of dentists received a questionnaire regarding their experiences with digital radiology techniques or conventional films among young children. Using the Simple Multi-Attributive Rating Technique (SMART) a final weighted score was calculated for the charge-coupled device, the phosphor plate, and conventional film. The scores were 7.40, 7.38, and 6.98 respectively. The differences were not statistically significant (p > 0.47). It could be concluded that, on the basis of experiences in practice, there are no statistically significant preferences for the use of digital radioogy techniques for bitewing radiography in young children.

Standardized seawater rearing of chinook salmon smolts to evaluate hatchery practices showed low statistical power

USGS Publications Warehouse

Palmisano, Aldo N.; Elder, N.E.

2001-01-01

We examined, under standardized conditions, seawater survival of chinook salmon Oncorhynchus tshawytscha at the smolt stage to evaluate the experimental hatchery practices applied to their rearing. The experimental rearing practices included rearing fish at different densities; attempting to control bacterial kidney disease with broodstock segregation, erythromycin injection, and an experimental diet; rearing fish on different water sources; and freeze branding the fish. After application of experimental rearing practices in hatcheries, smolts were transported to a rearing facility for about 2-3 months of seawater rearing. Of 16 experiments, 4 yielded statistically significant differences in seawater survival. In general we found that high variability among replicates, plus the low numbers of replicates available, resulted in low statistical power. We recommend including four or five replicates and using ?? = 0.10 in 1-tailed tests of hatchery experiments to try to increase the statistical power to 0.80.

[E-learning and problem based learning integration in cardiology education].

PubMed

Gürpinar, Erol; Zayim, Neşe; Başarici, Ibrahim; Gündüz, Filiz; Asar, Mevlüt; Oğuz, Nurettin

2009-06-01

The aim of this study was to determine students' satisfaction with an e-learning environment which is developed to support classical problem-based learning (PBL) in medical education and its effect on academic achievement. In this cross-sectional study, students were provided with a web-based learning environment including learning materials related to objectives of the subject of PBL module, which could be used during independent study period. The study group comprised of all of the second year students (164 students) of Akdeniz University, Medical Faculty, during 2007-2008 education period. In order to gather data about students' satisfaction with learning environment, a questionnaire was administered to the students. Comparison of students' academic achievement was based on their performance score in PBL exam. Statistical analyses were performed using unpaired t test and Mann Whitney U test. Findings indicated that 72.6% of the students used e-learning practice. There is no statistically significant difference between mean PBL performance scores of users and non-users of e-learning practice (103.58 vs. 100.88) (t=-0.998, p=0.320). It is found that frequent users of e-learning application had statistically significant higher scores than non-frequent users (106.28 vs. 100.59) (t=-2.373, p=0.01). In addition, 72.6% of the students declared they were satisfied with the application. Our study demonstrated that the most of the students use e-learning application and are satisfied with it. In addition, it is observed that e-learning application positively affects the academic achievement of the students. This study gains special importance by providing contribution to limited literature in the area of instructional technology in PBL and Cardiology teaching.

Statistical trends of episiotomy around the world: Comparative systematic review of changing practices.

PubMed

Clesse, Christophe; Lighezzolo-Alnot, Joëlle; De Lavergne, Sylvie; Hamlin, Sandrine; Scheffler, Michèle

2018-06-01

The authors' purpose for this article is to identify, review and interpret all publications about the episiotomy rates worldwide. Based on the criteria from the PRISMA guidelines, twenty databases were scrutinized. All studies which include national statistics related to episiotomy were selected, as well as studies presenting estimated data. Sixty-one papers were selected with publication dates between 1995 and 2016. A static and dynamic analysis of all the results was carried out. The assumption for the decline in the number of episiotomies is discussed and confirmed, recalling that nowadays high rates of episiotomy remain in less industrialized countries and East Asia. Finally, our analysis aims to investigate the potential determinants which influence apparent statistical disparities.

Cluster randomised controlled trial of a theory-based multiple behaviour change intervention aimed at healthcare professionals to improve their management of type 2 diabetes in primary care.

PubMed

Presseau, Justin; Mackintosh, Joan; Hawthorne, Gillian; Francis, Jill J; Johnston, Marie; Grimshaw, Jeremy M; Steen, Nick; Coulthard, Tom; Brown, Heather; Kaner, Eileen; Elovainio, Marko; Sniehotta, Falko F

2018-05-02

National diabetes audits in the UK show room for improvement in the quality of care delivered to people with type 2 diabetes in primary care. Systematic reviews of quality improvement interventions show that such approaches can be effective but there is wide variability between trials and little understanding concerning what explains this variability. A national cohort study of primary care across 99 UK practices identified modifiable predictors of healthcare professionals' prescribing, advising and foot examination. Our objective was to evaluate the effectiveness of an implementation intervention to improve six guideline-recommended health professional behaviours in managing type 2 diabetes in primary care: prescribing for blood pressure and glycaemic control, providing physical activity and nutrition advice and providing updated diabetes education and foot examination. Two-armed cluster randomised trial involving 44 general practices. Primary outcomes (at 12 months follow-up): from electronic medical records, the proportion of patients receiving additional prescriptions for blood pressure and insulin initiation for glycaemic control and having a foot examination; and from a patient survey of a random sample of 100 patients per practice, reported receipt of updated diabetes education and physical activity and nutrition advice. The implementation intervention did not lead to statistically significant improvement on any of the six clinical behaviours. 1,138,105 prescriptions were assessed. Intervention (29% to 37% patients) and control arms (31% to 35%) increased insulin initiation relative to baseline but were not statistically significantly different at follow-up (IRR 1.18, 95%CI 0.95-1.48). Intervention (45% to 53%) and control practices (45% to 50%) increased blood pressure prescription from baseline to follow-up but were not statistically significantly different at follow-up (IRR 1.05, 95%CI 0.96 to 1.16). Intervention (75 to 78%) and control practices (74 to 79%) increased foot examination relative to baseline; control practices increased statistically significantly more (OR 0.84, 95%CI 0.75-0.94). Fewer patients in intervention (33%) than control practices (40%) reported receiving updated diabetes education (OR = 0.74, 95%CI 0.57-0.97). No statistically significant differences were observed in patient reports of having had a discussion about nutrition (intervention = 73%; control = 72%; OR = 0.98, 95%CI 0.59-1.64) or physical activity (intervention = 57%; control = 62%; OR = 0.79, 95%CI 0.56-1.11). Development and delivery of the intervention cost £1191 per practice. There was no measurable benefit to practices' participation in this intervention. Despite widespread use of outreach interventions worldwide, there is a need to better understand which techniques at which intensity are optimally suited to address the multiple clinical behaviours involved in improving care for type 2 diabetes. ISRCTN, ISRCTN66498413 . Registered April 4, 2013.

Rural Doctors' Views on and Experiences with Evidence-Based Medicine: The FrEEDoM Qualitative Study.

PubMed

Hisham, Ranita; Liew, Su May; Ng, Chirk Jenn; Mohd Nor, Kamaliah; Osman, Iskandar Firzada; Ho, Gah Juan; Hamzah, Nurazira; Glasziou, Paul

2016-01-01

Evidence-based medicine is the integration of individual clinical expertise, best external evidence and patient values which was introduced more than two decades ago. Yet, primary care physicians in Malaysia face unique barriers in accessing scientific literature and applying it to their clinical practice. This study aimed to explore the views and experiences of rural doctors' about evidence-based medicine in their daily clinical practice in a rural primary care setting. Qualitative methodology was used. The interviews were conducted in June 2013 in two rural health clinics in Malaysia. The participants were recruited using purposive sampling. Four focus group discussions with 15 medical officers and three individual in-depth interviews with family medicine specialists were carried out. All interviews were conducted using a topic guide and were audio-recorded, transcribed verbatim, checked and analyzed using a thematic approach. Key themes identified were: (1) doctors viewed evidence-based medicine mainly as statistics, research and guidelines, (2) reactions to evidence-based medicine were largely negative, (3) doctors relied on specialists, peers, guidelines and non-evidence based internet sources for information, (4) information sources were accessed using novel methods such as mobile applications and (5) there are several barriers to evidence-based practice, including doctor-, evidence-based medicine-, patient- and system-related factors. These included inadequacies in knowledge, attitude, management support, time and access to evidence-based information sources. Participants recommended the use of online services to support evidence-based practice in the rural settings. The level of evidence-based practice is low in the rural setting due to poor awareness, knowledge, attitude and resources. Doctors use non-evidence based sources and access them through new methods such as messaging applications. Further research is recommended to develop and evaluate interventions to overcome the identified barriers.

Spatial Autocorrelation Approaches to Testing Residuals from Least Squares Regression.

PubMed

Chen, Yanguang

2016-01-01

In geo-statistics, the Durbin-Watson test is frequently employed to detect the presence of residual serial correlation from least squares regression analyses. However, the Durbin-Watson statistic is only suitable for ordered time or spatial series. If the variables comprise cross-sectional data coming from spatial random sampling, the test will be ineffectual because the value of Durbin-Watson's statistic depends on the sequence of data points. This paper develops two new statistics for testing serial correlation of residuals from least squares regression based on spatial samples. By analogy with the new form of Moran's index, an autocorrelation coefficient is defined with a standardized residual vector and a normalized spatial weight matrix. Then by analogy with the Durbin-Watson statistic, two types of new serial correlation indices are constructed. As a case study, the two newly presented statistics are applied to a spatial sample of 29 China's regions. These results show that the new spatial autocorrelation models can be used to test the serial correlation of residuals from regression analysis. In practice, the new statistics can make up for the deficiencies of the Durbin-Watson test.

Is Team-Based Primary Care Associated with Less Access Problems and Self-Reported Unmet Need in Canada?

PubMed

Zygmunt, Austin; Asada, Yukiko; Burge, Frederick

2017-10-01

As in many jurisdictions, the delivery of primary care in Canada is being transformed from solo practice to team-based care. In Canada, team-based primary care involves general practitioners working with nurses or other health care providers, and it is expected to improve equity in access to care. This study examined whether team-based care is associated with fewer access problems and less unmet need and whether socioeconomic gradients in access problems and unmet need are smaller in team-based care than in non-team-based care. Data came from the 2008 Canadian Survey of Experiences with Primary Health Care (sample size: 10,858). We measured primary care type as team-based or non-team-based and socioeconomic status by income and education. We created four access problem variables and four unmet need variables (overall and three specific components). For each, we ran separate logistic regression models to examine their associations with primary care type. We examined socioeconomic gradients in access problems and unmet need stratified by primary care type. Primary care type had no statistically significant, independent associations with access problems or unmet need. Among those with non-team-based care, a statistically significant education gradient for overall access problems existed, whereas among those with team-based care, no statistically significant socioeconomic gradients existed.

Utilisation of strategic communication to create willingness to change work practices among primary care staff: a long-term follow-up study.

PubMed

Morténius, Helena; Fridlund, Bengt; Marklund, Bertil; Palm, Lars; Baigi, Amir

2012-04-01

To evaluate the long-term utilisation of strategic communication as a factor of importance when changing work practices among primary care staff. In many health care organisations, there is a gap between theory and practice. This gap hinders the provision of optimal evidence-based practice and, in the long term, is unfavourable for patient care. One way of overcoming this barrier is systematically structured communication between the scientific theoretical platform and clinical practice. This longitudinal evaluative study was conducted among a primary care staff cohort. Strategic communication was considered to be the intervention platform and included a network of ambassadors who acted as a component of the implementation. Measurements occurred 7 and 12 years after formation of the cohort. A questionnaire was used to obtain information from participants. In total, 846 employees (70%) agreed to take part in the study. After 12 years, the 352 individuals (60%) who had remained in the organisation were identified and followed up. Descriptive statistics and multivariate analysis were used to analyse the data. Continuous information contributed to significant improvements over time with respect to new ideas and the intention to change work practices. There was a statistically significant synergistic effect on the new way of thinking, that is, willingness to change work practices. During the final two years, the network of ambassadors had created a distinctive image for itself in the sense that primary care staff members were aware of it and its activities. This awareness was associated with a positive change with regard to new ways of thinking. More years of practice was inversely associated with willingness to change work practices. Strategic communication may lead to a scientific platform that promotes high-quality patient care by means of new methods and research findings.

Empirical Analysis of Green Supply Chain Management Practices in Indian Automobile Industry

NASA Astrophysics Data System (ADS)

Luthra, S.; Garg, D.; Haleem, A.

2014-04-01

Environmental sustainability and green environmental issues have an increasing popularity among researchers and supply chain practitioners. An attempt has been made to identify and empirically analyze green supply chain management (GSCM) practices in Indian automobile industry. Six main GSCM practices (having 37 sub practices) and four expected performance outcomes (having 16 performances) have been identified by implementing GSCM practices from literature review. Questionnaire based survey has been made to validate these practices and performance outcomes. 123 complete questionnaires were collected from Indian automobile organizations and used for empirical analysis of GSCM practices in Indian automobile industry. Descriptive statistics have been used to know current implementation status of GSCM practices in Indian automobile industry and multiple regression analysis has been carried out to know the impact on expected organizational performance outcomes by current GSCM practices adopted by Indian automobile industry. The results of study suggested that environmental, economic, social and operational performances improve with the implementation of GSCM practices. This paper may play an important role to understand various GSCM implementation issues and help practicing managers to improve their performances in the supply chain.

Effects of HMO market penetration on physicians' work effort and satisfaction.

PubMed

Hadley, J; Mitchell, J M

1997-01-01

We investigate whether geographic variations in health maintenance organization (HMO) market penetration are associated with three aspects of physicians' practices: number of hours worked per year, number of patients seen per week, and satisfaction with the current practice. Based on multivariate regression analysis of data for 4,373 patient care physicians (under age forty-five) from a national random sample surveyed in 1991, we estimate that a doubling of the average level of HMO penetration is associated with statistically significant differences of 4 percent fewer annual hours, 13.7 percent fewer patients seen per week, and a 20 percent greater likelihood of not being very satisfied with one's current practice.

Promoting Best Practices for Managing Acute Low Back Pain in an Occupational Environment.

PubMed

Slaughter, Amanda Lynn; Frith, Karen; O'Keefe, Louise; Alexander, Susan; Stoll, Regina

2015-09-01

Providers treating low back pain must be confident and knowledgeable in evidence-based practice (EBP) to provide the best outcomes. An online education course was created in an effort to increase knowledge and confidence in EBP and clinical practice guidelines specific to low back pain in an occupational setting. There were 80 participants who completed the pre-test and post-test. The results showed a statistically significant improvement in knowledge and confidence scores after completion of the course. An online education course was shown to be a cost-effective, accessible tool to increase knowledge and confidence of EBP for different health care providers. © 2015 The Author(s).

Connecting Students to Mental Health Care: Pilot Findings from an Engagement Program for School Nurses

PubMed Central

Kim, Rachel E.; Becker, Kimberly D.; Stephan, Sharon H.; Hakimian, Serop; Apocada, Dee; Escudero, Pia V.; Chorpita, Bruce F.

2015-01-01

Schools function as the major provider of mental health services (MHS) for youth, but can struggle with engaging them in services. School nurses are well-positioned to facilitate referrals for MHS. This pilot study examined the feasibility, acceptability, and preliminary efficacy of an engagement protocol (EP) designed to enhance school nurses’ utilization of evidence-based engagement practices when referring youth to MHS. Participants were six school nurses and twenty-five adolescents in a large, urban school district. School nurses reported positive attitudes towards the EP, suggesting that they found it feasible and acceptable. Though there were small increases in school nurses’ use of engagement practices and in adolescents’ readiness for services following training, due to limited sample size, differences were not statistically significant. Still, pilot results suggest preliminary efficacy of training school nurses to strategically implement evidence-based engagement practices to increase adolescents’ engagement in MHS. PMID:26251671

DOE Office of Scientific and Technical Information (OSTI.GOV)

Webb-Robertson, Bobbie-Jo M.

Accurate identification of peptides is a current challenge in mass spectrometry (MS) based proteomics. The standard approach uses a search routine to compare tandem mass spectra to a database of peptides associated with the target organism. These database search routines yield multiple metrics associated with the quality of the mapping of the experimental spectrum to the theoretical spectrum of a peptide. The structure of these results make separating correct from false identifications difficult and has created a false identification problem. Statistical confidence scores are an approach to battle this false positive problem that has led to significant improvements in peptidemore » identification. We have shown that machine learning, specifically support vector machine (SVM), is an effective approach to separating true peptide identifications from false ones. The SVM-based peptide statistical scoring method transforms a peptide into a vector representation based on database search metrics to train and validate the SVM. In practice, following the database search routine, a peptides is denoted in its vector representation and the SVM generates a single statistical score that is then used to classify presence or absence in the sample« less

Academic Librarians' Practices and Perceptions on Web-Based Instruction for Academic Library Patrons as Adult Learners

ERIC Educational Resources Information Center

Taylor, Deborah Michelle

2016-01-01

Academic librarians are encouraged to provide library services, resources, and instruction to all patrons, including the adult learner. Statistics reported that worldwide, adults are a growing student population in colleges and universities; however, the adult learner as an academic library patron is often neglected. Academic libraries can…

Assessing the Development of Educational Research Literacy: The Effect of Courses on Research Methods in Studies of Educational Science

ERIC Educational Resources Information Center

Groß Ophoff, Jana; Schladitz, Sandra; Leuders, Juliane; Leuders, Timo; Wirtz, Markus A.

2015-01-01

The ability to purposefully access, reflect, and use evidence from educational research (Educational Research Literacy) is expected of future professionals in educational practice. Based on the presented conceptual framework, a test instrument was developed to assess the different competency aspects: Information Literacy, Statistical Literacy, and…

Navy MANTECH 2008 Project Book

DTIC Science & Technology

2008-01-01

work center. The project team kept statistics on the actual operations in that work center and assessed the fidelity of those operations with...base, a power- ful analytic and predictive capability, and a database of validated industry best practices. The BMPCOE- developed Collaborative Work ...Today, the EMPF operates as a national electronics manufacturing COE focused on the development , application and

Statistical Inference-Based Cache Management for Mobile Learning

ERIC Educational Resources Information Center

Li, Qing; Zhao, Jianmin; Zhu, Xinzhong

2009-01-01

Supporting efficient data access in the mobile learning environment is becoming a hot research problem in recent years, and the problem becomes tougher when the clients are using light-weight mobile devices such as cell phones whose limited storage space prevents the clients from holding a large cache. A practical solution is to store the cache…

Computing the Average Square: An Agent-Based Introduction to Aspects of Current Psychometric Practice

ERIC Educational Resources Information Center

Stroup, Walter M.; Hills, Thomas; Carmona, Guadalupe

2011-01-01

This paper summarizes an approach to helping future educators to engage with key issues related to the application of measurement-related statistics to learning and teaching, especially in the contexts of science, mathematics, technology and engineering (STEM) education. The approach we outline has two major elements. First, students are asked to…

On the Optimality of Answer-Copying Indices: Theory and Practice

ERIC Educational Resources Information Center

Romero, Mauricio; Riascos, Álvaro; Jara, Diego

2015-01-01

Multiple-choice exams are frequently used as an efficient and objective method to assess learning, but they are more vulnerable to answer copying than tests based on open questions. Several statistical tests (known as indices in the literature) have been proposed to detect cheating; however, to the best of our knowledge, they all lack mathematical…

Outcome-Based Practice: Disclosure Rates of Child Sexual Abuse Comparing Allegation Blind and Allegation Informed Structured Interviews.

ERIC Educational Resources Information Center

Cantlon, Julie; And Others

1996-01-01

This study evaluated the use of "allegation blind" interviews (in which interviewers did not know the specific allegation involved) with children (n=1535) suspected of being victims of child sexual abuse. The "allegation blind" interview technique yielded a statistically higher disclosure rate than the "allegation informed" interviews. (Author/DB)

Prove It! Putting Together the Evidence-Based Practice Puzzle

ERIC Educational Resources Information Center

Little, Hannah Byrd

2015-01-01

Why is it important to prove that school libraries add value to the school program? The National Center for Education Statistics reports that 20 percent of U.S. public schools lack a full or part-time certified librarian (NCES 2013). In California the ratio of certified school librarians to students is 1:7,374 (California Department of Education…

Health Knowledge, Attitudes, Practices, and Beliefs of Lebanese and Palestinian School Children in Lebanon

ERIC Educational Resources Information Center

Fuddah, Hanin; Zeitoun, Samar

2017-01-01

The indicators for health risk factors among school children in Lebanon associated with increased mortality and morbidity were higher than the global percentage based on WHO (2014) statistics. Knowing that the Ministry of Education in Lebanon has been trying to include health education in the national school curriculum since the last reform in…

Teaching Secondary School Mathematics and Statistics: Evidence-Based Practice. Volume 1

ERIC Educational Resources Information Center

Averill, Robin; Harvey, Roger

2009-01-01

"Mathematics is more than skills... it is also the excitement of discovery." This is how Derek Holton, one of the contributing authors to this book, defines mathematics. His enthusiasm and energy are echoed throughout by many of the other writers. This is a book to delight mathematics teachers at all stages: experienced and inexperienced;…

Five Years Later: A Look at Building and Triangulating Evidence in a School Library

ERIC Educational Resources Information Center

Yutzey, Susan D.

2010-01-01

Participating in an evidence-based practice workshop in 2005 was a transforming experience for the author. She realized that the traditional statistics that she had painstakingly gathered and recorded for her annual report did not provide evidence of actual learning. Evidence acquired through assessment, both formative and summative, provides the…

A Quantitative Assessment of Utility Reporting Practices for Reporting Electric Power Distribution Events

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hamachi La Commare, Kristina

Metrics for reliability, such as the frequency and duration of power interruptions, have been reported by electric utilities for many years. This study examines current utility practices for collecting and reporting electricity reliability information and discusses challenges that arise in assessing reliability because of differences among these practices. The study is based on reliability information for year 2006 reported by 123 utilities in 37 states representing over 60percent of total U.S. electricity sales. We quantify the effects that inconsistencies among current utility reporting practices have on comparisons of System Average Interruption Duration Index (SAIDI) and System Average Interruption Frequency Indexmore » (SAIFI) reported by utilities. We recommend immediate adoption of IEEE Std. 1366-2003 as a consistent method for measuring and reporting reliability statistics.« less

Clinicians' practice environment is associated with a higher likelihood of recommending cesarean deliveries.

PubMed

Cheng, Yvonne W; Snowden, Jonathan M; Handler, Stephanie; Tager, Ira B; Hubbard, Alan; Caughey, Aaron B

2014-08-01

Little data exist regarding clinicians' role in the rising annual incidence rate of cesarean delivery in the US. We aimed to examine if clinicians' practice environment is associated with recommending cesarean deliveries. This is a survey study of clinicians who practice obstetrics in the US. This survey included eight clinical vignettes and 27 questions regarding clinicians' practice environment. Chi-square test and multivariable logistic regression were used for statistical comparison. Of 27 675 survey links sent, 3646 clinicians received and opened the survey electronically, and 1555 (43%) participated and 1486 (94%) completed the survey. Clinicians were categorized into three groups based on eight common obstetric vignettes as: more likely (n = 215), average likelihood (n = 1099), and less likely (n = 168) to recommend cesarean. Clinician environment factors associated with a higher likelihood of recommending cesarean included Laborists/Hospitalists practice model (p < 0.001), as-needed anesthesia support (p = 0.003), and rural/suburban practice setting (p < 0.001). We identified factors in clinicians' environment associated with their likelihood of recommending cesarean delivery. The decision to recommend cesarean delivery is a complicated one and is likely not solely based on patient factors.

Pattern of optometry practice and range of services in India.

PubMed

Thite, Nilesh; Jaggernath, Jyoti; Chinanayi, Farai; Bharadwaj, Shrikant; Kunjeer, Gauri

2015-05-01

This study was conducted to evaluate the range of services provided by optometrists in various modes of optometric practice in India. An online questionnaire was administered to 1674 optometrists to collect information on the range of optometric services offered. Data were analyzed based on variables including sex, educational qualification, and modes of practice. Two-sample Wilcoxon rank sum tests, χ tests, and Fisher exact text were used to conduct inferential statistics. A total of 563 valid and completed survey questionnaires were received from graduates of 41 optometry institutes working across 23 states of India. Of these, 225 (40.0%) were female, 288 (51.2%) had completed postgraduate education, and 340 (60.5%) were involved in more than one mode of practice. The top three modes of practice were hospital-based practice (44.8%), academia (42.8%), and optical retail (33.0%). Of the 441, out of 563 (78.3%) respondents involved in patient care, the majority (98.4%) performed refraction and routine eye examination, 70.3% dispensed contact lenses, and 66.9% practiced optical dispensing. Lower involvement was seen in providing binocular-vision (45.1%) and low-vision services (30.2%). Higher education was associated with advanced level of practice (p < 0.05) except clinical investigative procedures. There was a significant association between postgraduate studies and involvement in academics and research (p < 0.01). Most optometrists are engaged in multiple modes of practice, with optical practice, hospital-based practice, and academia being the leading modes. Optometrists need to be more involved in providing the core optometric services of binocular vision and low vision. Higher education has an impact on the level of optometric practice.

Assessment of practices, capacities and incentives of poultry chain actors in implementation of highly pathogenic avian influenza mitigation measures in Ghana.

PubMed

Turkson, Paa Kobina; Okike, Iheanacho

2016-02-01

The animal health services-seeking behaviour of animal owners related to prevention and control of animal diseases may influence their decisions as to whether or not to use services provided by the public or private sectors. The specific objective of this paper was to assess the practices, capacities and incentives of actors involved in highly pathogenic avian influenza (HPAI) control to provide information for prevention and control in Ghana. Questionnaires were designed based on specific practices, incentives and capacities associated with each mitigation measure that was being assessed. Two peacetime preventive mitigation measures (biosecurity and reporting) and two outbreak containment measures (culling with compensation and movement control) were selected for evaluation. Supply chain actors were characterised based on baseline information. Tables were generated showing proportions of respondents in the various response categories in Likert-scale type itemised questionnaire. Mean scores (and their standard deviations) for the various actors with regard to mitigation measures were calculated. Pair-wise comparisons were done using t -ratio statistic and significance of differences were determined at a Bonferroni adjusted P -value of 0.0024. The study found statistically significant differences between certain actors for practices (biosecurity, reporting, culling and compensation and movement controls), incentives (reporting and movement control) and capacities (reporting and movement control). The findings provide lessons to help improve education and messages on HPAI and to help provide technical assistance targeted at specific actors to prevent and control future HPAI H5N1 outbreaks in Ghana.

Wildland Arson as Clandestine Resource Management: A Space-Time Permutation Analysis and Classification of Informal Fire Management Regimes in Georgia, USA

NASA Astrophysics Data System (ADS)

Coughlan, Michael R.

2016-05-01

Forest managers are increasingly recognizing the value of disturbance-based land management techniques such as prescribed burning. Unauthorized, "arson" fires are common in the southeastern United States where a legacy of agrarian cultural heritage persists amidst an increasingly forest-dominated landscape. This paper reexamines unauthorized fire-setting in the state of Georgia, USA from a historical ecology perspective that aims to contribute to historically informed, disturbance-based land management. A space-time permutation analysis is employed to discriminate systematic, management-oriented unauthorized fires from more arbitrary or socially deviant fire-setting behaviors. This paper argues that statistically significant space-time clusters of unauthorized fire occurrence represent informal management regimes linked to the legacy of traditional land management practices. Recent scholarship has pointed out that traditional management has actively promoted sustainable resource use and, in some cases, enhanced biodiversity often through the use of fire. Despite broad-scale displacement of traditional management during the 20th century, informal management practices may locally circumvent more formal and regionally dominant management regimes. Space-time permutation analysis identified 29 statistically significant fire regimes for the state of Georgia. The identified regimes are classified by region and land cover type and their implications for historically informed disturbance-based resource management are discussed.

Wildland Arson as Clandestine Resource Management: A Space-Time Permutation Analysis and Classification of Informal Fire Management Regimes in Georgia, USA.

PubMed

Coughlan, Michael R

2016-05-01

Forest managers are increasingly recognizing the value of disturbance-based land management techniques such as prescribed burning. Unauthorized, "arson" fires are common in the southeastern United States where a legacy of agrarian cultural heritage persists amidst an increasingly forest-dominated landscape. This paper reexamines unauthorized fire-setting in the state of Georgia, USA from a historical ecology perspective that aims to contribute to historically informed, disturbance-based land management. A space-time permutation analysis is employed to discriminate systematic, management-oriented unauthorized fires from more arbitrary or socially deviant fire-setting behaviors. This paper argues that statistically significant space-time clusters of unauthorized fire occurrence represent informal management regimes linked to the legacy of traditional land management practices. Recent scholarship has pointed out that traditional management has actively promoted sustainable resource use and, in some cases, enhanced biodiversity often through the use of fire. Despite broad-scale displacement of traditional management during the 20th century, informal management practices may locally circumvent more formal and regionally dominant management regimes. Space-time permutation analysis identified 29 statistically significant fire regimes for the state of Georgia. The identified regimes are classified by region and land cover type and their implications for historically informed disturbance-based resource management are discussed.

Effectiveness of a Motivation and Practical Skills Development Methods on the Oral Hygiene of Orphans Children in Kaunas, Lithuania

PubMed Central

Narbutaite, Julija

2015-01-01

ABSTRACT Objectives The aim of this study was to evaluate the effect of a motivation and practical skills development methods on the oral hygiene of orphans. Material and Methods Sixty eight orphans aged between 7 and 17 years from two orphanages in Kaunas were divided into two groups: practical application group and motivation group. Children were clinically examined by determining their oral hygiene status using Silness-Löe plaque index. Questionnaire was used to estimate the oral hygiene knowledge and practices at baseline and after 3 months. Statistical analysis included: Chi-square test (χ2), Fisher‘s exact test, Student‘s t-test, nonparametric Mann-Whitney test, Spearman’s rho correlation coefficient and Kappa coefficient. Results All children had a plaque on at least one tooth in both groups: motivation 1.14 (SD 0.51), practical application 1.08 (SD 0.4) (P = 0.58). Girls in both groups showed significantly better oral hygiene than boys (P < 0.001). After 3 months educational program oral hygiene status improved in both groups significantly 0.4 (SD 0.35) (P < 0.001). Significantly better oral hygiene was determined in practical application group 0.19 (SD 0.27) in comparison with motivation group 0.55 (SD 0.32) (P < 0.001). By comparing results of first and second questionnaire surveys on use of soft drinks, the statistically significant decline of their use was in both groups (P = 0.004). Conclusions Educational programs are effective in improving oral hygiene, especially when they’re based on practical skills training. PMID:26539284

Comparative study on drug safety surveillance between medical students of Malaysia and Nigeria.

PubMed

Abubakar, Abdullahi Rabiu; Ismail, Salwani; Rahman, Nor Iza A; Haque, Mainul

2015-01-01

Internationally, there is a remarkable achievement in the areas of drug discovery, drug design, and clinical trials. New and efficient drug formulation techniques are widely available which have led to success in treatment of several diseases. Despite these achievements, large number of patients continue to experience adverse drug reactions (ADRs), and majority of them are yet to be on record. The purpose of this survey is to compare knowledge, attitude, and practice with respect to ADRs and pharmacovigilance (PV) between medical students of Malaysia and Nigeria and to determine if there is a relationship between their knowledge and practice. A cross-sectional, questionnaire-based survey involving year IV and year V medical students of the Department of Medicine, Universiti Sultan Zainal Abidin and Bayero University Kano was carried out. The questionnaire which comprised 25 questions on knowledge, attitude, and practice was adopted, modified, validated, and administered to them. The response was analyzed using SPSS version 20. The response rate from each country was 74%. There was a statistically significant difference in mean knowledge and practice score on ADRs and PV between medical students of Malaysia and Nigeria, both at P<0.000. No significance difference in attitude was observed at P=0.389. Also, a statistically significant relationship was recorded between their knowledge and practice (r=0.229, P=0.001), although the relationship was weak. Nigerian medical students have better knowledge and practice than those of Malaysia, although they need improvement. Imparting knowledge of ADRs and PV among medical students will upgrade their practice and enhance health care delivery services in the future.

Family physicians' attitude and practice of infertility management at primary care--Suez Canal University, Egypt.

PubMed

Eldein, Hebatallah Nour

2013-01-01

The very particular natures of infertility problem and infertility care make them different from other medical problems and services in developing countries. Even after the referral to specialists, the family physicians are expected to provide continuous support for these couples. This place the primary care service at the heart of all issues related to infertility. to improve family physicians' attitude and practice about the approach to infertility management within primary care setting. This study was conducted in the between June and December 2010. The study sample comprised 100 family physician trainees in the family medicine department and working in family practice centers or primary care units. They were asked to fill a questionnaire about their personal characteristics, attitude, and practice towards support, investigations, and treatment of infertile couples. Hundred family physicians were included in the study. They were previously received training in infertility management. Favorable attitude scores were detected among (68%) of physicians and primary care was considered a suitable place for infertility management among (77%) of participants. There was statistically significant difference regarding each of age groups, gender and years of experience with the physicians' attitude. There was statistically significant difference regarding gender, perceiving PHC as an appropriate place to manage infertility and attitude towards processes of infertility management with the physicians' practice. Favorable attitude and practice were determined among the study sample. Supporting the structure of primary care and evidence-based training regarding infertility management are required to improve family physicians' attitude and practice towards infertility management.

Family physicians’ attitude and practice of infertility management at primary care - Suez Canal University, Egypt

PubMed Central

Eldein, Hebatallah Nour

2013-01-01

Introduction The very particular natures of infertility problem and infertility care make them different from other medical problems and services in developing countries. Even after the referral to specialists, the family physicians are expected to provide continuous support for these couples. This place the primary care service at the heart of all issues related to infertility. The aim of the work: to improve family physicians' attitude and practice about the approach to infertility management within primary care setting. Methods This study was conducted in the between June and December 2010. The study sample comprised 100 family physician trainees in the family medicine department and working in family practice centers or primary care units. They were asked to fill a questionnaire about their personal characteristics, attitude, and practice towards support, investigations, and treatment of infertile couples. Results Hundred family physicians were included in the study. They were previously received training in infertility management. Favorable attitude scores were detected among (68%) of physicians and primary care was considered a suitable place for infertility management among (77%) of participants. There was statistically significant difference regarding each of age groups, gender and years of experience with the physicians′ attitude. There was statistically significant difference regarding gender, perceiving PHC as an appropriate place to manage infertility and attitude towards processes of infertility management with the physicians′ practice. Conclusion Favorable attitude and practice were determined among the study sample. Supporting the structure of primary care and evidence-based training regarding infertility management are required to improve family physicians' attitude and practice towards infertility management. PMID:24244792

Practical Computer Security through Cryptography

NASA Technical Reports Server (NTRS)

McNab, David; Twetev, David (Technical Monitor)

1998-01-01

The core protocols upon which the Internet was built are insecure. Weak authentication and the lack of low level encryption services introduce vulnerabilities that propagate upwards in the network stack. Using statistics based on CERT/CC Internet security incident reports, the relative likelihood of attacks via these vulnerabilities is analyzed. The primary conclusion is that the standard UNIX BSD-based authentication system is by far the most commonly exploited weakness. Encryption of Sensitive password data and the adoption of cryptographically-based authentication protocols can greatly reduce these vulnerabilities. Basic cryptographic terminology and techniques are presented, with attention focused on the ways in which technology such as encryption and digital signatures can be used to protect against the most commonly exploited vulnerabilities. A survey of contemporary security software demonstrates that tools based on cryptographic techniques, such as Kerberos, ssh, and PGP, are readily available and effectively close many of the most serious security holes. Nine practical recommendations for improving security are described.

Application of a faith-based integration tool to assess mental and physical health interventions.

PubMed

Saunders, Donna M; Leak, Jean; Carver, Monique E; Smith, Selina A

2017-01-01

To build on current research involving faith-based interventions (FBIs) for addressing mental and physical health, this study a) reviewed the extent to which relevant publications integrate faith concepts with health and b) initiated analysis of the degree of FBI integration with intervention outcomes. Derived from a systematic search of articles published between 2007 and 2017, 36 studies were assessed with a Faith-Based Integration Assessment Tool (FIAT) to quantify faith-health integration. Basic statistical procedures were employed to determine the association of faith-based integration with intervention outcomes. The assessed studies possessed (on average) moderate, inconsistent integration because of poor use of faith measures, and moderate, inconsistent use of faith practices. Analysis procedures for determining the effect of FBI integration on intervention outcomes were inadequate for formulating practical conclusions. Regardless of integration, interventions were associated with beneficial outcomes. To determine the link between FBI integration and intervention outcomes, additional analyses are needed.

The Problem of Auto-Correlation in Parasitology

PubMed Central

Pollitt, Laura C.; Reece, Sarah E.; Mideo, Nicole; Nussey, Daniel H.; Colegrave, Nick

2012-01-01

Explaining the contribution of host and pathogen factors in driving infection dynamics is a major ambition in parasitology. There is increasing recognition that analyses based on single summary measures of an infection (e.g., peak parasitaemia) do not adequately capture infection dynamics and so, the appropriate use of statistical techniques to analyse dynamics is necessary to understand infections and, ultimately, control parasites. However, the complexities of within-host environments mean that tracking and analysing pathogen dynamics within infections and among hosts poses considerable statistical challenges. Simple statistical models make assumptions that will rarely be satisfied in data collected on host and parasite parameters. In particular, model residuals (unexplained variance in the data) should not be correlated in time or space. Here we demonstrate how failure to account for such correlations can result in incorrect biological inference from statistical analysis. We then show how mixed effects models can be used as a powerful tool to analyse such repeated measures data in the hope that this will encourage better statistical practices in parasitology. PMID:22511865

Evaluating Structural Equation Models for Categorical Outcomes: A New Test Statistic and a Practical Challenge of Interpretation.

PubMed

Monroe, Scott; Cai, Li

2015-01-01

This research is concerned with two topics in assessing model fit for categorical data analysis. The first topic involves the application of a limited-information overall test, introduced in the item response theory literature, to structural equation modeling (SEM) of categorical outcome variables. Most popular SEM test statistics assess how well the model reproduces estimated polychoric correlations. In contrast, limited-information test statistics assess how well the underlying categorical data are reproduced. Here, the recently introduced C2 statistic of Cai and Monroe (2014) is applied. The second topic concerns how the root mean square error of approximation (RMSEA) fit index can be affected by the number of categories in the outcome variable. This relationship creates challenges for interpreting RMSEA. While the two topics initially appear unrelated, they may conveniently be studied in tandem since RMSEA is based on an overall test statistic, such as C2. The results are illustrated with an empirical application to data from a large-scale educational survey.

Estimation versus falsification approaches in sport and exercise science.

PubMed

Wilkinson, Michael; Winter, Edward M

2018-05-22

There has been a recent resurgence in debate about methods for statistical inference in science. The debate addresses statistical concepts and their impact on the value and meaning of analyses' outcomes. In contrast, philosophical underpinnings of approaches and the extent to which analytical tools match philosophical goals of the scientific method have received less attention. This short piece considers application of the scientific method to "what-is-the-influence-of x-on-y" type questions characteristic of sport and exercise science. We consider applications and interpretations of estimation versus falsification based statistical approaches and their value in addressing how much x influences y, and in measurement error and method agreement settings. We compare estimation using magnitude based inference (MBI) with falsification using null hypothesis significance testing (NHST), and highlight the limited value both of falsification and NHST to address problems in sport and exercise science. We recommend adopting an estimation approach, expressing the uncertainty of effects of x on y, and their practical/clinical value against pre-determined effect magnitudes using MBI.

Statistical approach for selection of biologically informative genes.

PubMed

Das, Samarendra; Rai, Anil; Mishra, D C; Rai, Shesh N

2018-05-20

Selection of informative genes from high dimensional gene expression data has emerged as an important research area in genomics. Many gene selection techniques have been proposed so far are either based on relevancy or redundancy measure. Further, the performance of these techniques has been adjudged through post selection classification accuracy computed through a classifier using the selected genes. This performance metric may be statistically sound but may not be biologically relevant. A statistical approach, i.e. Boot-MRMR, was proposed based on a composite measure of maximum relevance and minimum redundancy, which is both statistically sound and biologically relevant for informative gene selection. For comparative evaluation of the proposed approach, we developed two biological sufficient criteria, i.e. Gene Set Enrichment with QTL (GSEQ) and biological similarity score based on Gene Ontology (GO). Further, a systematic and rigorous evaluation of the proposed technique with 12 existing gene selection techniques was carried out using five gene expression datasets. This evaluation was based on a broad spectrum of statistically sound (e.g. subject classification) and biological relevant (based on QTL and GO) criteria under a multiple criteria decision-making framework. The performance analysis showed that the proposed technique selects informative genes which are more biologically relevant. The proposed technique is also found to be quite competitive with the existing techniques with respect to subject classification and computational time. Our results also showed that under the multiple criteria decision-making setup, the proposed technique is best for informative gene selection over the available alternatives. Based on the proposed approach, an R Package, i.e. BootMRMR has been developed and available at https://cran.r-project.org/web/packages/BootMRMR. This study will provide a practical guide to select statistical techniques for selecting informative genes from high dimensional expression data for breeding and system biology studies. Published by Elsevier B.V.

Developing a social practice-based typology of British drinking culture in 2009-2011: implications for alcohol policy analysis.

PubMed

Ally, Abdallah K; Lovatt, Melanie; Meier, Petra S; Brennan, Alan; Holmes, John

2016-09-01

The concept of national drinking culture is well established in research and policy debate, but rarely features in contemporary alcohol policy analysis. We aim to demonstrate the value of the alternative concept of social practices for quantitatively operationalizing drinking culture. We discuss how a practice perspective addresses limitations in existing analytical approaches to health-related behaviour before demonstrating its empirical application by constructing a statistical typology of British drinking occasions. Cross-sectional latent class analysis of drinking occasions derived from retrospective 1-week drinking diaries obtained from quota samples of a market research panel. Occasions are periods of drinking with no more than 2 hours between drinks. Great Britain, 2009-11. A total of 187 878 occasions nested within 60 215 nationally representative adults (aged 18 + years). Beverage type and quantity per occasion; location, company and gender composition of company; motivation and reason for occasion; day, start-time and duration of occasion; and age, sex and social grade. Eight occasion types are derived based primarily on parsimony considerations rather than model fit statistics. These are mixed location heavy drinking (10.4% of occasions), heavy drinking at home with a partner (9.4%), going out with friends (11.1%), get-together at someone's house (14.4%), going out for a meal (8.6%), drinking at home alone (13.6%), light drinking at home with family (12.8%) and light drinking at home with a partner (19.6%). An empirical model of drinking culture, comprising a typology of drinking practices, reveals the dominance of moderate drinking practices in Great Britain. The model demonstrates the potential for a practice perspective to be used in evaluation of how and why drinking cultures change in response to public health interventions. © 2016 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.

What Goes Into a Decision? How Nursing Faculty Decide Which Best Practices to Use for Classroom Testing.

PubMed

Killingsworth, Erin; Kimble, Laura P; Sudia, Tanya

2015-01-01

To explore the decision-making process of BSN faculty when determining which best practices to use for classroom testing. A descriptive, correlational study was conducted with a national sample (N = 127) of full-time BSN faculty. Participants completed a web-based survey incorporating instruments that measured beliefs about evaluation, decision-making, and best practices for item analysis and constructing and revising classroom tests. Study participants represented 31 states and were primarily middle-aged white women. In multiple linear regression analyses, faculty beliefs, contextual factors for decision-making, and decision-making processes accounted for statistically significant amounts of the variance in item analysis and test construction and revision. Strong faculty beliefs that rules were important when evaluating students was a significant predictor of increased use of best practices. Results support that understanding faculty beliefs around classroom testing is important in promoting the use of best practices.

Hash function based on chaotic map lattices.

PubMed

Wang, Shihong; Hu, Gang

2007-06-01

A new hash function system, based on coupled chaotic map dynamics, is suggested. By combining floating point computation of chaos and some simple algebraic operations, the system reaches very high bit confusion and diffusion rates, and this enables the system to have desired statistical properties and strong collision resistance. The chaos-based hash function has its advantages for high security and fast performance, and it serves as one of the most highly competitive candidates for practical applications of hash function for software realization and secure information communications in computer networks.

Hash function based on chaotic map lattices

NASA Astrophysics Data System (ADS)

Wang, Shihong; Hu, Gang

2007-06-01

A new hash function system, based on coupled chaotic map dynamics, is suggested. By combining floating point computation of chaos and some simple algebraic operations, the system reaches very high bit confusion and diffusion rates, and this enables the system to have desired statistical properties and strong collision resistance. The chaos-based hash function has its advantages for high security and fast performance, and it serves as one of the most highly competitive candidates for practical applications of hash function for software realization and secure information communications in computer networks.

ICU nurses' oral-care practices and the current best evidence.

PubMed

DeKeyser Ganz, Freda; Fink, Naomi Farkash; Raanan, Ofra; Asher, Miriam; Bruttin, Madeline; Nun, Maureen Ben; Benbinishty, Julie

2009-01-01

The purpose of this study was to describe the oral-care practices of ICU nurses, to compare those practices with current evidence-based practice, and to determine if the use of evidence-based practice was associated with personal demographic or professional characteristics. A national survey of oral-care practices of ICU nurses was conducted using a convenience sample of 218 practicing ICU nurses in 2004-05. The survey instrument included questions about demographic and professional characteristics and a checklist of oral-care practices. Nurses rated their perceived level of priority concerning oral care on a scale from 0 to 100. A score was computed representing the sum of 14 items related to equipment, solutions, assessments, and techniques associated with the current best evidence. This score was then statistically analyzed using ANOVA to determine differences of EBP based on demographic and professional characteristics. The most commonly used equipment was gauze pads (84%), followed by tongue depressors (55%), and toothbrushes (34%). Chlorhexidine was the most common solution used (75%). Less than half (44%) reported brushing their patients' teeth. The majority performed an oral assessment before beginning oral care (71%); however, none could describe what assessment tool was used. Only 57% of nurses reported documenting their oral care. Nurses rated oral care of intubated patients with a priority of 67+/-27.1. Wide variations were noted within and between units in terms of which techniques, equipment, and solutions were used. No significant relationships were found between the use of an evidence-based protocol and demographic and professional characteristics or with the priority given to oral care. While nurses ranked oral care a high priority, many did not implement the latest evidence into their current practice. The level of research utilization was not related to personal or professional characteristics. Therefore attempts should be made to encourage all ICU nurses to introduce and use evidence-based, oral-care protocols. Practicing ICU nurses in this survey were often not adhering to the latest evidence-based practice and therefore need to be educated and encouraged to do so in order to improve patient care.

Statistical analysis of target acquisition sensor modeling experiments

NASA Astrophysics Data System (ADS)

Deaver, Dawne M.; Moyer, Steve

2015-05-01

The U.S. Army RDECOM CERDEC NVESD Modeling and Simulation Division is charged with the development and advancement of military target acquisition models to estimate expected soldier performance when using all types of imaging sensors. Two elements of sensor modeling are (1) laboratory-based psychophysical experiments used to measure task performance and calibrate the various models and (2) field-based experiments used to verify the model estimates for specific sensors. In both types of experiments, it is common practice to control or measure environmental, sensor, and target physical parameters in order to minimize uncertainty of the physics based modeling. Predicting the minimum number of test subjects required to calibrate or validate the model should be, but is not always, done during test planning. The objective of this analysis is to develop guidelines for test planners which recommend the number and types of test samples required to yield a statistically significant result.

An Intelligent Model for Pairs Trading Using Genetic Algorithms.

PubMed

Huang, Chien-Feng; Hsu, Chi-Jen; Chen, Chi-Chung; Chang, Bao Rong; Li, Chen-An

2015-01-01

Pairs trading is an important and challenging research area in computational finance, in which pairs of stocks are bought and sold in pair combinations for arbitrage opportunities. Traditional methods that solve this set of problems mostly rely on statistical methods such as regression. In contrast to the statistical approaches, recent advances in computational intelligence (CI) are leading to promising opportunities for solving problems in the financial applications more effectively. In this paper, we present a novel methodology for pairs trading using genetic algorithms (GA). Our results showed that the GA-based models are able to significantly outperform the benchmark and our proposed method is capable of generating robust models to tackle the dynamic characteristics in the financial application studied. Based upon the promising results obtained, we expect this GA-based method to advance the research in computational intelligence for finance and provide an effective solution to pairs trading for investment in practice.

The FORE-SCE model: a practical approach for projecting land cover change using scenario-based modeling

USGS Publications Warehouse

Sohl, Terry L.; Sayler, Kristi L.; Drummond, Mark A.; Loveland, Thomas R.

2007-01-01

A wide variety of ecological applications require spatially explicit, historic, current, and projected land use and land cover data. The U.S. Land Cover Trends project is analyzing contemporary (1973–2000) land-cover change in the conterminous United States. The newly developed FORE-SCE model used Land Cover Trends data and theoretical, statistical, and deterministic modeling techniques to project future land cover change through 2020 for multiple plausible scenarios. Projected proportions of future land use were initially developed, and then sited on the lands with the highest potential for supporting that land use and land cover using a statistically based stochastic allocation procedure. Three scenarios of 2020 land cover were mapped for the western Great Plains in the US. The model provided realistic, high-resolution, scenario-based land-cover products suitable for multiple applications, including studies of climate and weather variability, carbon dynamics, and regional hydrology.

An Intelligent Model for Pairs Trading Using Genetic Algorithms

PubMed Central

Hsu, Chi-Jen; Chen, Chi-Chung; Li, Chen-An

2015-01-01

Pairs trading is an important and challenging research area in computational finance, in which pairs of stocks are bought and sold in pair combinations for arbitrage opportunities. Traditional methods that solve this set of problems mostly rely on statistical methods such as regression. In contrast to the statistical approaches, recent advances in computational intelligence (CI) are leading to promising opportunities for solving problems in the financial applications more effectively. In this paper, we present a novel methodology for pairs trading using genetic algorithms (GA). Our results showed that the GA-based models are able to significantly outperform the benchmark and our proposed method is capable of generating robust models to tackle the dynamic characteristics in the financial application studied. Based upon the promising results obtained, we expect this GA-based method to advance the research in computational intelligence for finance and provide an effective solution to pairs trading for investment in practice. PMID:26339236

Neutron/Gamma-ray discrimination through measures of fit

DOE Office of Scientific and Technical Information (OSTI.GOV)

Amiri, Moslem; Prenosil, Vaclav; Cvachovec, Frantisek

2015-07-01

Statistical tests and their underlying measures of fit can be utilized to separate neutron/gamma-ray pulses in a mixed radiation field. In this article, first the application of a sample statistical test is explained. Fit measurement-based methods require true pulse shapes to be used as reference for discrimination. This requirement makes practical implementation of these methods difficult; typically another discrimination approach should be employed to capture samples of neutrons and gamma-rays before running the fit-based technique. In this article, we also propose a technique to eliminate this requirement. These approaches are applied to several sets of mixed neutron and gamma-ray pulsesmore » obtained through different digitizers using stilbene scintillator in order to analyze them and measure their discrimination quality. (authors)« less

Finite-data-size study on practical universal blind quantum computation

NASA Astrophysics Data System (ADS)

Zhao, Qiang; Li, Qiong

2018-07-01

The universal blind quantum computation with weak coherent pulses protocol is a practical scheme to allow a client to delegate a computation to a remote server while the computation hidden. However, in the practical protocol, a finite data size will influence the preparation efficiency in the remote blind qubit state preparation (RBSP). In this paper, a modified RBSP protocol with two decoy states is studied in the finite data size. The issue of its statistical fluctuations is analyzed thoroughly. The theoretical analysis and simulation results show that two-decoy-state case with statistical fluctuation is closer to the asymptotic case than the one-decoy-state case with statistical fluctuation. Particularly, the two-decoy-state protocol can achieve a longer communication distance than the one-decoy-state case in this statistical fluctuation situation.

A general model-based design of experiments approach to achieve practical identifiability of pharmacokinetic and pharmacodynamic models.

PubMed

Galvanin, Federico; Ballan, Carlo C; Barolo, Massimiliano; Bezzo, Fabrizio

2013-08-01

The use of pharmacokinetic (PK) and pharmacodynamic (PD) models is a common and widespread practice in the preliminary stages of drug development. However, PK-PD models may be affected by structural identifiability issues intrinsically related to their mathematical formulation. A preliminary structural identifiability analysis is usually carried out to check if the set of model parameters can be uniquely determined from experimental observations under the ideal assumptions of noise-free data and no model uncertainty. However, even for structurally identifiable models, real-life experimental conditions and model uncertainty may strongly affect the practical possibility to estimate the model parameters in a statistically sound way. A systematic procedure coupling the numerical assessment of structural identifiability with advanced model-based design of experiments formulations is presented in this paper. The objective is to propose a general approach to design experiments in an optimal way, detecting a proper set of experimental settings that ensure the practical identifiability of PK-PD models. Two simulated case studies based on in vitro bacterial growth and killing models are presented to demonstrate the applicability and generality of the methodology to tackle model identifiability issues effectively, through the design of feasible and highly informative experiments.

Methodological Standards for Meta-Analyses and Qualitative Systematic Reviews of Cardiac Prevention and Treatment Studies: A Scientific Statement From the American Heart Association.

PubMed

Rao, Goutham; Lopez-Jimenez, Francisco; Boyd, Jack; D'Amico, Frank; Durant, Nefertiti H; Hlatky, Mark A; Howard, George; Kirley, Katherine; Masi, Christopher; Powell-Wiley, Tiffany M; Solomonides, Anthony E; West, Colin P; Wessel, Jennifer

2017-09-05

Meta-analyses are becoming increasingly popular, especially in the fields of cardiovascular disease prevention and treatment. They are often considered to be a reliable source of evidence for making healthcare decisions. Unfortunately, problems among meta-analyses such as the misapplication and misinterpretation of statistical methods and tests are long-standing and widespread. The purposes of this statement are to review key steps in the development of a meta-analysis and to provide recommendations that will be useful for carrying out meta-analyses and for readers and journal editors, who must interpret the findings and gauge methodological quality. To make the statement practical and accessible, detailed descriptions of statistical methods have been omitted. Based on a survey of cardiovascular meta-analyses, published literature on methodology, expert consultation, and consensus among the writing group, key recommendations are provided. Recommendations reinforce several current practices, including protocol registration; comprehensive search strategies; methods for data extraction and abstraction; methods for identifying, measuring, and dealing with heterogeneity; and statistical methods for pooling results. Other practices should be discontinued, including the use of levels of evidence and evidence hierarchies to gauge the value and impact of different study designs (including meta-analyses) and the use of structured tools to assess the quality of studies to be included in a meta-analysis. We also recommend choosing a pooling model for conventional meta-analyses (fixed effect or random effects) on the basis of clinical and methodological similarities among studies to be included, rather than the results of a test for statistical heterogeneity. © 2017 American Heart Association, Inc.

Healthcare reform: implications for knowledge translation in primary care

PubMed Central

2013-01-01

Background The primary care sector represents the linchpin of many health systems. However, the translation of evidence-based practices into patient care can be difficult, particularly during healthcare reform. This can have significant implications for patients, their communities, and the public purse. This is aptly demonstrated in the area of sexual health. The aim of this paper is to determine what works to facilitate evidence-based sexual healthcare within the primary care sector. Methods 431 clinicians (214 general practitioners and 217 practice nurses) in New South Wales, Australia, were surveyed about their awareness, their use, the perceived impact, and the factors that hindered the use of six resources to promote sexual healthcare. Descriptive statistics were calculated from the responses to the closed survey items, while responses to open-ended item were thematically analyzed. Results All six resources were reported to improve the delivery of evidence-based sexual healthcare. Two resources – both double-sided A4-placards – had the greatest reach and use. Barriers that hindered resource-use included limited time, limited perceived need, and limited access to, or familiarity with the resources. Furthermore, the reorganization of the primary care sector and the removal of particular medical benefits scheme items may have hampered clinician capacity to translate evidence-based practices into patient care. Conclusions Findings reveal: (1) the translation of evidence-based practices into patient care is viable despite reform; (2) the potential value of a multi-modal approach; (3) the dissemination of relatively inexpensive resources might influence clinical practices; and (4) reforms to governance and/or funding arrangements may widen the void between evidence-based practices and patient care. PMID:24274773

Illustrating the practice of statistics

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hamada, Christina A; Hamada, Michael S

2009-01-01

The practice of statistics involves analyzing data and planning data collection schemes to answer scientific questions. Issues often arise with the data that must be dealt with and can lead to new procedures. In analyzing data, these issues can sometimes be addressed through the statistical models that are developed. Simulation can also be helpful in evaluating a new procedure. Moreover, simulation coupled with optimization can be used to plan a data collection scheme. The practice of statistics as just described is much more than just using a statistical package. In analyzing the data, it involves understanding the scientific problem andmore » incorporating the scientist's knowledge. In modeling the data, it involves understanding how the data were collected and accounting for limitations of the data where possible. Moreover, the modeling is likely to be iterative by considering a series of models and evaluating the fit of these models. Designing a data collection scheme involves understanding the scientist's goal and staying within hislher budget in terms of time and the available resources. Consequently, a practicing statistician is faced with such tasks and requires skills and tools to do them quickly. We have written this article for students to provide a glimpse of the practice of statistics. To illustrate the practice of statistics, we consider a problem motivated by some precipitation data that our relative, Masaru Hamada, collected some years ago. We describe his rain gauge observational study in Section 2. We describe modeling and an initial analysis of the precipitation data in Section 3. In Section 4, we consider alternative analyses that address potential issues with the precipitation data. In Section 5, we consider the impact of incorporating additional infonnation. We design a data collection scheme to illustrate the use of simulation and optimization in Section 6. We conclude this article in Section 7 with a discussion.« less

Presence of Enniatins and Beauvericin in Romanian Wheat Samples: From Raw Material to Products for Direct Human Consumption

PubMed Central

Stanciu, Oana; Juan, Cristina; Miere, Doina; Loghin, Felicia; Mañes, Jordi

2017-01-01

In this study, a total of 244 wheat and wheat-based products collected from Romania were analyzed by liquid chromatography tandem mass spectrometry (LC-MS/MS) in order to evaluate the presence of four enniatins (ENs; i.e., ENA, ENA1, ENB, and ENB1) and beauvericin (BEA). For the wheat samples, the influence of agricultural practices was assessed, whereas the results for the wheat-based products were used to calculate the estimated daily intake of emerging mycotoxins through wheat consumption for the Romanian population. ENB presented the highest incidence (41% in wheat and 32% in wheat-based products), with its maximum levels of 815 μg kg−1 and 170 μg kg−1 in wheat and wheat-based products, respectively. The correlation between the concentrations of ENB and ENB1 in wheat grain samples and farm practices (organic or conventional) was confirmed statistically (p < 0.05). This is the first study that provides comprehensive information about the influence of agricultural practice on emerging Fusarium mycotoxin presence in Romanian wheat samples and the estimated daily intake of ENs and BEA present in wheat-based products for human consumption commercialized in Romania. PMID:28604626

Knowledge, Attitude and Practice of Pharmacists regarding Dietary Supplements : A Community Pharmacy- based survey in Tehran.

PubMed

Mehralian, Gholamhossein; Yousefi, Nazila; Hashemian, Farshad; Maleksabet, Hanieh

2014-01-01

The present study aimed to evaluate pharmacy practice regarding dietary supplements in Tehran (I.R. Iran). So, the factors affecting on pharmacists' practice including their knowledge, attitude, and some underlying factors were evaluated. This is an observational knowledge; attitude and practice (KAP) study. The unit of analysis include pharmacies practice located in Tehran. The data was collected in 2013 via an anonymous, self-administered; postal questionnaire consisted of demographic information, knowledge (subjective and objective questions), attitude, and practice evaluation part. Descriptive and inferential statistics were performed using SPSS. This study showed that although the knowledge has a significant effect on attitude and practice, the attention should be paid on other underlying factors such as experience, pharmacy ownership situation and academic degree which might have positive impact on pharmacists' practice. According to this study, although many underlying factors such as experience, university and pharmacy ownership have impact on pharmacy practice regarding dietary supplements, the most attention should paid to knowledge as the main factor and more attention should be paid to training on dietary supplement could be recommended.

Benefit and outcome of using temozolomide-based chemoradiotherapy followed by temozolomide alone for glioblastoma in clinical practice.

PubMed

Salma, Svetlana; Djan, Igor; Bjelan, Mladen; Vulekovic, Petar; Novakovic, Mico; Vidovic, Vladimir; Lucic, Milos

2017-01-01

Temozolomide (TEM), an oral alkylating agent, has shown promising activity in the last 10 years in the treatment of glioblastoma multiforme (GBM). Our goal was to show the benefit of concomitant therapy involving 3D conformal radiotherapy and temozolomide in clinical practice. This was a retrospective/prospective study and included a total of 113 patients with GBM diagnosis. Forty- seven patients received postoperative radiotherapy and 66 received concomitant temozolomide plus 3D conformal radiotherapy. The mean overall survival of patients who received postoperative radiotherapy alone was 9.93±6.475 months, compared to statistically longer overall survival in the group of patients who received radiotherapy plus temozolomide (13.89±8.049 months) (p=0.006). The latter group was divided into two subgroups, one consisting of patients who received 6 complete cycles of temozolomide, and a second with patients who received incomplete treatment. Statistically significant longer overall survival was registered in the first subgroup compared to the second (p=0.006). The concomitant usage of temozolomide and radiotherapy was beneficial, and statistically significant difference among groups and subgroups was observed regarding overall survival.

Selecting the "Best" Factor Structure and Moving Measurement Validation Forward: An Illustration.

PubMed

Schmitt, Thomas A; Sass, Daniel A; Chappelle, Wayne; Thompson, William

2018-04-09

Despite the broad literature base on factor analysis best practices, research seeking to evaluate a measure's psychometric properties frequently fails to consider or follow these recommendations. This leads to incorrect factor structures, numerous and often overly complex competing factor models and, perhaps most harmful, biased model results. Our goal is to demonstrate a practical and actionable process for factor analysis through (a) an overview of six statistical and psychometric issues and approaches to be aware of, investigate, and report when engaging in factor structure validation, along with a flowchart for recommended procedures to understand latent factor structures; (b) demonstrating these issues to provide a summary of the updated Posttraumatic Stress Disorder Checklist (PCL-5) factor models and a rationale for validation; and (c) conducting a comprehensive statistical and psychometric validation of the PCL-5 factor structure to demonstrate all the issues we described earlier. Considering previous research, the PCL-5 was evaluated using a sample of 1,403 U.S. Air Force remotely piloted aircraft operators with high levels of battlefield exposure. Previously proposed PCL-5 factor structures were not supported by the data, but instead a bifactor model is arguably more statistically appropriate.

Best practices for evaluating the capability of nondestructive evaluation (NDE) and structural health monitoring (SHM) techniques for damage characterization

NASA Astrophysics Data System (ADS)

Aldrin, John C.; Annis, Charles; Sabbagh, Harold A.; Lindgren, Eric A.

2016-02-01

A comprehensive approach to NDE and SHM characterization error (CE) evaluation is presented that follows the framework of the `ahat-versus-a' regression analysis for POD assessment. Characterization capability evaluation is typically more complex with respect to current POD evaluations and thus requires engineering and statistical expertise in the model-building process to ensure all key effects and interactions are addressed. Justifying the statistical model choice with underlying assumptions is key. Several sizing case studies are presented with detailed evaluations of the most appropriate statistical model for each data set. The use of a model-assisted approach is introduced to help assess the reliability of NDE and SHM characterization capability under a wide range of part, environmental and damage conditions. Best practices of using models are presented for both an eddy current NDE sizing and vibration-based SHM case studies. The results of these studies highlight the general protocol feasibility, emphasize the importance of evaluating key application characteristics prior to the study, and demonstrate an approach to quantify the role of varying SHM sensor durability and environmental conditions on characterization performance.

Daniel Goodman’s empirical approach to Bayesian statistics

USGS Publications Warehouse

Gerrodette, Tim; Ward, Eric; Taylor, Rebecca L.; Schwarz, Lisa K.; Eguchi, Tomoharu; Wade, Paul; Himes Boor, Gina

2016-01-01

Bayesian statistics, in contrast to classical statistics, uses probability to represent uncertainty about the state of knowledge. Bayesian statistics has often been associated with the idea that knowledge is subjective and that a probability distribution represents a personal degree of belief. Dr. Daniel Goodman considered this viewpoint problematic for issues of public policy. He sought to ground his Bayesian approach in data, and advocated the construction of a prior as an empirical histogram of “similar” cases. In this way, the posterior distribution that results from a Bayesian analysis combined comparable previous data with case-specific current data, using Bayes’ formula. Goodman championed such a data-based approach, but he acknowledged that it was difficult in practice. If based on a true representation of our knowledge and uncertainty, Goodman argued that risk assessment and decision-making could be an exact science, despite the uncertainties. In his view, Bayesian statistics is a critical component of this science because a Bayesian analysis produces the probabilities of future outcomes. Indeed, Goodman maintained that the Bayesian machinery, following the rules of conditional probability, offered the best legitimate inference from available data. We give an example of an informative prior in a recent study of Steller sea lion spatial use patterns in Alaska.

Maximum entropy models as a tool for building precise neural controls.

PubMed

Savin, Cristina; Tkačik, Gašper

2017-10-01

Neural responses are highly structured, with population activity restricted to a small subset of the astronomical range of possible activity patterns. Characterizing these statistical regularities is important for understanding circuit computation, but challenging in practice. Here we review recent approaches based on the maximum entropy principle used for quantifying collective behavior in neural activity. We highlight recent models that capture population-level statistics of neural data, yielding insights into the organization of the neural code and its biological substrate. Furthermore, the MaxEnt framework provides a general recipe for constructing surrogate ensembles that preserve aspects of the data, but are otherwise maximally unstructured. This idea can be used to generate a hierarchy of controls against which rigorous statistical tests are possible. Copyright © 2017 Elsevier Ltd. All rights reserved.

Pilot study of six Colorado dental hygiene independent practices.

PubMed

Astroth, D B; Cross-Poline, G N

1998-01-01

The purpose of this pilot study was to gather demographic data about six Colorado dental hygienists who were practicing independently and their practices as well as assess productivity and service mix, evaluate structure and process, and compare the findings in these practices to those of a study of California Health Manpower Pilot Project #139. A convenience sample of six dental hygiene independent practices was studied. A 21-item survey was distributed by mail to obtain demographic and practice information. Weekly surveys tracking patient visits and services provided were completed for three months. A general office audit to evaluate structure and a record audit of 22 patient records to evaluate process were conducted during visits at each practice site. The overall responses for each phase of this study were tabulated and frequencies were calculated using the SPSS/PC+ statistical package. The dental hygienists had practiced for an average of 13 years prior to establishing their practices. Four of the six practices were office-based, one was institution-based, and one was office- and institution-based. Health history, extraoral/intraoral examination, periodontal probing, adult prophylaxis, and oral hygiene instruction were provided during a majority of patient visits. The general office audit revealed compliance with infection control, office protocols for emergency situations, and practice management protocols. The patient record audit indicated a high standard for process of care for the practice sites. The six practices revealed a variety of backgrounds among the dental hygienists and diverse practice characteristics regarding both the populations served and practice settings. The services provided were consistent with allowable services for unsupervised practice. Compliance with specific guidelines was verified during the general office and patient record audits. Consistent with the findings of California Health Manpower Pilot Project #139, the care provided by the Colorado dental hygiene independent practitioners in this study and the environment in which the care was provided do not exhibit any undue risk to the health and safety of the public.

Stochastic modeling of sunshine number data

NASA Astrophysics Data System (ADS)

Brabec, Marek; Paulescu, Marius; Badescu, Viorel

2013-11-01

In this paper, we will present a unified statistical modeling framework for estimation and forecasting sunshine number (SSN) data. Sunshine number has been proposed earlier to describe sunshine time series in qualitative terms (Theor Appl Climatol 72 (2002) 127-136) and since then, it was shown to be useful not only for theoretical purposes but also for practical considerations, e.g. those related to the development of photovoltaic energy production. Statistical modeling and prediction of SSN as a binary time series has been challenging problem, however. Our statistical model for SSN time series is based on an underlying stochastic process formulation of Markov chain type. We will show how its transition probabilities can be efficiently estimated within logistic regression framework. In fact, our logistic Markovian model can be relatively easily fitted via maximum likelihood approach. This is optimal in many respects and it also enables us to use formalized statistical inference theory to obtain not only the point estimates of transition probabilities and their functions of interest, but also related uncertainties, as well as to test of various hypotheses of practical interest, etc. It is straightforward to deal with non-homogeneous transition probabilities in this framework. Very importantly from both physical and practical points of view, logistic Markov model class allows us to test hypotheses about how SSN dependents on various external covariates (e.g. elevation angle, solar time, etc.) and about details of the dynamic model (order and functional shape of the Markov kernel, etc.). Therefore, using generalized additive model approach (GAM), we can fit and compare models of various complexity which insist on keeping physical interpretation of the statistical model and its parts. After introducing the Markovian model and general approach for identification of its parameters, we will illustrate its use and performance on high resolution SSN data from the Solar Radiation Monitoring Station of the West University of Timisoara.

Stochastic modeling of sunshine number data

DOE Office of Scientific and Technical Information (OSTI.GOV)

Brabec, Marek, E-mail: mbrabec@cs.cas.cz; Paulescu, Marius; Badescu, Viorel

2013-11-13

In this paper, we will present a unified statistical modeling framework for estimation and forecasting sunshine number (SSN) data. Sunshine number has been proposed earlier to describe sunshine time series in qualitative terms (Theor Appl Climatol 72 (2002) 127-136) and since then, it was shown to be useful not only for theoretical purposes but also for practical considerations, e.g. those related to the development of photovoltaic energy production. Statistical modeling and prediction of SSN as a binary time series has been challenging problem, however. Our statistical model for SSN time series is based on an underlying stochastic process formulation ofmore » Markov chain type. We will show how its transition probabilities can be efficiently estimated within logistic regression framework. In fact, our logistic Markovian model can be relatively easily fitted via maximum likelihood approach. This is optimal in many respects and it also enables us to use formalized statistical inference theory to obtain not only the point estimates of transition probabilities and their functions of interest, but also related uncertainties, as well as to test of various hypotheses of practical interest, etc. It is straightforward to deal with non-homogeneous transition probabilities in this framework. Very importantly from both physical and practical points of view, logistic Markov model class allows us to test hypotheses about how SSN dependents on various external covariates (e.g. elevation angle, solar time, etc.) and about details of the dynamic model (order and functional shape of the Markov kernel, etc.). Therefore, using generalized additive model approach (GAM), we can fit and compare models of various complexity which insist on keeping physical interpretation of the statistical model and its parts. After introducing the Markovian model and general approach for identification of its parameters, we will illustrate its use and performance on high resolution SSN data from the Solar Radiation Monitoring Station of the West University of Timisoara.« less

The Heuristics of Statistical Argumentation: Scaffolding at the Postsecondary Level

ERIC Educational Resources Information Center

Pardue, Teneal Messer

2017-01-01

Language plays a key role in statistics and, by extension, in statistics education. Enculturating students into the practice of statistics requires preparing them to communicate results of data analysis. Statistical argumentation is one way of providing structure to facilitate discourse in the statistics classroom. In this study, a teaching…

Measures of accuracy and performance of diagnostic tests.

PubMed

Drobatz, Kenneth J

2009-05-01

Diagnostic tests are integral to the practice of veterinary cardiology, any other specialty, and general veterinary medicine. Developing and understanding diagnostic tests is one of the cornerstones of clinical research. This manuscript describes the diagnostic test properties including sensitivity, specificity, predictive value, likelihood ratio, receiver operating characteristic curve. Review of practical book chapters and standard statistics manuscripts. Diagnostics such as sensitivity, specificity, predictive value, likelihood ratio, and receiver operating characteristic curve are described and illustrated. Basic understanding of how diagnostic tests are developed and interpreted is essential in reviewing clinical scientific papers and understanding evidence based medicine.

A Practical Guide to Check the Consistency of Item Response Patterns in Clinical Research Through Person-Fit Statistics: Examples and a Computer Program.

PubMed

Meijer, Rob R; Niessen, A Susan M; Tendeiro, Jorge N

2016-02-01

Although there are many studies devoted to person-fit statistics to detect inconsistent item score patterns, most studies are difficult to understand for nonspecialists. The aim of this tutorial is to explain the principles of these statistics for researchers and clinicians who are interested in applying these statistics. In particular, we first explain how invalid test scores can be detected using person-fit statistics; second, we provide the reader practical examples of existing studies that used person-fit statistics to detect and to interpret inconsistent item score patterns; and third, we discuss a new R-package that can be used to identify and interpret inconsistent score patterns. © The Author(s) 2015.

Refinement of a Bias-Correction Procedure for the Weighted Likelihood Estimator of Ability. Research Report. ETS RR-07-23

ERIC Educational Resources Information Center

Zhang, Jinming; Lu, Ting

2007-01-01

In practical applications of item response theory (IRT), item parameters are usually estimated first from a calibration sample. After treating these estimates as fixed and known, ability parameters are then estimated. However, the statistical inferences based on the estimated abilities can be misleading if the uncertainty of the item parameter…

Teaching Secondary School Mathematics and Statistics: Evidence-Based Practice. Volume 2

ERIC Educational Resources Information Center

Averill, Robin; Harvey, Roger

2009-01-01

"We can never be sure that there is not some wild, untamed piece of mathematics ready to spring out on us... This is what keeps mathematics enchanting." This is how Jim Neyland, one of the contributing authors to this book, describes mathematics. His enthusiasm and energy are echoed throughout by many of the other writers. This is a book to…

Current trends in treatment of hypertension in Karachi and cost minimization possibilities.

PubMed

Hussain, Izhar M; Naqvi, Baqir S; Qasim, Rao M; Ali, Nasir

2015-01-01

This study finds out drug usage trends in Stage I Hypertensive Patients without any compelling indications in Karachi, deviations of current practices from evidence based antihypertensive therapeutic guidelines and looks for cost minimization opportunities. In the present study conducted during June 2012 to August 2012, two sets were used. Randomized stratified independent surveys were conducted in doctors and general population - including patients, using pretested questionnaires. Sample sizes for doctors and general population were 100 and 400 respectively. Statistical analysis was conducted on Statistical Package for Social Science (SPSS). Financial impact was also analyzed. On the basis of patients' doctors' feedback, Beta Blockers, and Angiotensin Converting Enzyme Inhibitors were used more frequently than other drugs. Thiazides and low-priced generics were hardly prescribed. Beta blockers were prescribed widely and considered cost effective. This trend increases cost by two to ten times. Feedbacks showed that therapeutic guidelines were not followed by the doctors practicing in the community and hospitals in Karachi. Thiazide diuretics were hardly used. Beta blockers were widely prescribed. High priced market leaders or expensive branded generics were commonly prescribed. Therefore, there are great opportunities for cost minimization by using evidence-based clinically effective and safe medicines.

Robustness of fit indices to outliers and leverage observations in structural equation modeling.

PubMed

Yuan, Ke-Hai; Zhong, Xiaoling

2013-06-01

Normal-distribution-based maximum likelihood (NML) is the most widely used method in structural equation modeling (SEM), although practical data tend to be nonnormally distributed. The effect of nonnormally distributed data or data contamination on the normal-distribution-based likelihood ratio (LR) statistic is well understood due to many analytical and empirical studies. In SEM, fit indices are used as widely as the LR statistic. In addition to NML, robust procedures have been developed for more efficient and less biased parameter estimates with practical data. This article studies the effect of outliers and leverage observations on fit indices following NML and two robust methods. Analysis and empirical results indicate that good leverage observations following NML and one of the robust methods lead most fit indices to give more support to the substantive model. While outliers tend to make a good model superficially bad according to many fit indices following NML, they have little effect on those following the two robust procedures. Implications of the results to data analysis are discussed, and recommendations are provided regarding the use of estimation methods and interpretation of fit indices. (PsycINFO Database Record (c) 2013 APA, all rights reserved).

A Regional Assessment of the Effects of Conservation Practices on In-stream Water Quality

NASA Astrophysics Data System (ADS)

Garcia, A. M.; Alexander, R. B.; Arnold, J.; Norfleet, L.; Robertson, D. M.; White, M.

2011-12-01

The Conservation Effects Assessment Program (CEAP), initiated by USDA Natural Resources Conservation Service (NRCS), has the goal of quantifying the environmental benefits of agricultural conservation practices. As part of this effort, detailed farmer surveys were compiled to document the adoption of conservation practices. Survey data showed that up to 38 percent of cropland in the Upper Mississippi River basin is managed to reduce sediment, nutrient and pesticide loads from agricultural activities. The broader effects of these practices on downstream water quality are challenging to quantify. The USDA-NRCS recently reported results of a study that combined farmer surveys with process-based models to deduce the effect of conservation practices on sediment and chemical loads in farm runoff and downstream waters. As a follow-up collaboration, USGS and USDA scientists conducted a semi-empirical assessment of the same suite of practices using the USGS SPARROW (SPAtially Referenced Regression On Watershed attributes) modeling framework. SPARROW is a hybrid statistical and mechanistic stream water quality model of annual conditions that has been used extensively in studies of nutrient sources and delivery. In this assessment, the USDA simulations of the effects of conservation practices on loads in farm runoff were used as an explanatory variable (i.e., change in farm loads per unit area) in a component of an existing a SPARROW model of the Upper Midwest. The model was then re-calibrated and tested to determine whether the USDA estimate of conservation adoption intensity explained a statistically significant proportion of the spatial variability in stream nutrient loads in the Upper Mississippi River basin. The results showed that the suite of conservation practices that NRCS has catalogued as complete nutrient and sediment management are a statistically significant feature in the Midwestern landscape associated with phosphorous runoff and delivery to downstream waters. Effects on the delivery of nitrogen will be also be studied. Estimates of the magnitude of this effect using SPARROW indicated that phosphorus load reductions ranged from about 2 - 38% for various spatial scales. This is less than reported by the USDA CEAP simulations, which ranged from 15 - 49%. Nevertheless, the results indicated that conservation practices play a significant role in reducing phosphorus pollution from agricultural activities to downstream receiving water bodies.

School-Based Obesity-Prevention Policies and Practices and Weight-Control Behaviors among Adolescents.

PubMed

Larson, Nicole; Davey, Cynthia S; Caspi, Caitlin E; Kubik, Martha Y; Nanney, Marilyn S

2017-02-01

The promotion of healthy eating and physical activity within school settings is an important component of population-based strategies to prevent obesity; however, adolescents may be vulnerable to weight-related messages, as rapid development during this life stage often leads to preoccupation with body size and shape. This study examines secular trends in secondary school curricula topics relevant to the prevention of unhealthy weight-control behaviors; describes cross-sectional associations between weight-related curricula content and students' use of weight-control behaviors; and assesses whether implementation of school-based obesity-prevention policies/practices is longitudinally related to students' weight-control behaviors. The Minnesota School Health Profiles and Minnesota Student Survey (grades 9 and 12) data were used along with National Center for Education Statistics data to examine secular trends, cross-sectional associations (n=141 schools), and longitudinal associations (n=42 schools). Students self-reported their height and weight along with past-year use of healthy (eg, exercise), unhealthy (eg, fasting), and extreme (eg, use laxatives) weight-control behaviors. Descriptive statistics, generalized estimating equations, and generalized linear regression models accounting for school-level demographics. There was no observable pattern during the years 2008 to 2014 in the mean number of curricula topics addressing unhealthy weight-control behaviors, despite an increase in the prevalence of curricula addressing acceptance of body-size differences. Including three vs fewer weight-control topics and specifically including the topic of eating disorders in the curricula was related to a lower school-level percent of students using any extreme weight-control behaviors. In contrast, an overall measure of implementing school-based obesity-prevention policies/practices (eg, prohibited advertising) was unrelated to use of unhealthy or extreme behaviors. Results suggest obesity-prevention policies/practices do not have unintended consequences for student weight-control behaviors and support the importance of school-based health education as part of efforts to prevent unhealthy behaviors. Copyright © 2017 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.

An Assessment of the Effectiveness of Air Force Risk Management Practices in Program Acquisition Using Survey Instrument Analysis

DTIC Science & Technology

2015-06-18

Engineering Effectiveness Survey. CMU/SEI-2012-SR-009. Carnegie Mellon University. November 2012. Field, Andy. Discovering Statistics Using SPSS , 3rd...enough into the survey to begin answering questions on risk practices. All of the data statistical analysis will be performed using SPSS . Prior to...probabilistically using distributions for likelihood and impact. Statistical methods like Monte Carlo can more comprehensively evaluate the cost and

Clear-cut?: facilitating health librarians to use information research in practice.

PubMed

Booth, Andrew; Brice, Anne

2003-06-01

In 1999, staff at the universities of Sheffield and Oxford commenced an unfunded project to examine whether it is feasible to apply critical appraisal to daily library practice. This aimed to establish whether barriers experienced when appraising medical literature (such as lack of clinical knowledge, poor knowledge of research methodology and little familiarity with statistical terms) might be reduced when appraising research within a librarian's own discipline. Innovative workshops were devised to equip health librarians with skills in interpreting and applying research. Critical Skills Training in Appraisal for Librarians (CRISTAL) used purpose-specific checklists based on the Users' Guides to the Medical Literature. Delivery was via half-day workshops, based on a format used by the Critical Appraisal Skills Programme. Two pilot workshops in Sheffield and Oxford were evaluated using a brief post-workshop form. Participants recorded objectives in attending, their general understanding of research, and whether they had read the paper before the workshop. They were asked about the length, content and presentation of the workshop, the general format, organization and learning environment, whether it had been a good use of their time and whether they had enjoyed it. Findings must be interpreted with caution. The workshops were enjoyable and a good use of time. Although the scenario selected required no clinical knowledge, barriers remain regarding statistics and research methodology. Future workshops for librarians should include sessions on research design and statistics. Further developments will take forward these findings.

What Factors Influence Community Oral and Maxillofacial Surgeons' Choice to Use Capnography in the Office-Based Ambulatory Anesthesia Setting?

PubMed

Matin, Mehdi B; Gonzalez, Martin L; Dodson, Thomas B

2015-08-01

The American Association of Oral and Maxillofacial Surgeons Board of Trustees mandated monitoring using capnography during moderate sedation (MS) and deep sedation or general anesthesia (DS/GA) delivered in the office setting effective January 1, 2014. The purpose of this study was to estimate the frequency of capnography use and to identify variables associated with a clinician's choice to use capnography before the mandate. To address the research purpose, the authors designed a prospective cohort study and enrolled 2 samples: 1) American private practicing oral and maxillofacial surgeons (OMSs) and 2) all eligible patients for whom these OMSs delivered MS or DS/GA. The predictor variables were categorized as surgeon or patient demographics, anesthesia risk factors, procedure-related variables, and anesthetic medications. The outcome variable was capnography use during MS or DS/GA. Descriptive, bivariate, and forward stepwise multiple logistic regression statistics were computed to evaluate the association between the predictor variables and capnography use, with statistical significance set at a P value less than or equal to .05. The surgeon sample was composed of 95 OMSs and 13.7% reported using capnography. The patient sample included 3,495 patients with a mean age of 30.6 years (standard deviation, 17.8 yr), 43.5% were men, and 5.6% were monitored using capnography. Based on bivariate analyses, 17 variables were associated with capnography use. Forward stepwise regression modeling identified 9 variables statistically associated with capnography use. These variables were patient's age, Mallampati airway score, alcohol consumption, board certification, sevoflurane use, number of monitoring methods, electrocardiogram use, precordial stethoscope use, and number of personnel in operating suite. Although this study might be of historical interest at this time, the results offer insight into OMSs' practice patterns before the mandatory requirement to use capnography. As more OMSs comply with the capnography mandate, their practice patterns involving variables found to statistically correlate with capnography use might become more similar to those of early adopters of this technology. Copyright © 2015 American Association of Oral and Maxillofacial Surgeons. Published by Elsevier Inc. All rights reserved.

Nurse uniform wearing practices and associated factors among nurses working in Northwest Ethiopia: a cross-sectional institution based study.

PubMed

Desta, Etaferahu Alamaw; Gebrie, Mignote Hailu; Dachew, Berihun Assefa

2015-01-01

Wearing uniforms help in the formation of professional identity in healthcare. It fosters a strong self image and professional identity which can lead to good confidence and better performance in nursing practice. However, most nurses in Ethiopia are not wearing nursing uniforms and the reasons remain unclear. Therefore, the aim of this research is to assess nurse uniform wearing practices among nurses and factors associated with such practice in hospitals in Northwest Ethiopia. A hospital based cross-sectional study was conducted from March to April, 2014 in five hospitals located in Northwest Ethiopia. A total 459 nurses participated in the study. Data was collected using a pre-tested self-administered questionnaire. Descriptive statistics were analyzed in order to characterize the study population. Bivariate and multiple logistic regression models were fitted. Odds ratios with 95 % confidence intervals were computed to identify factors associated with nursing uniform practice. Nurse uniform wearing practice was found to be 49.2 % of the total sample size. Around 35 % of the respondents that did not implement nurse uniform wearing practices stated that there was no specific uniform for nurses recommended by hospital management. In addition to this, nurse uniform wearing practices were positively associated with being female [AOR = 1.58, 95 % CI (1.02, 2.44)], studying nursing by choice [AOR =3.16, 95 % CI (2.03, 4.92)], and the appeal of nursing uniforms to nurses [AOR = 3.43 95 % CI (1.96, 5.98)]. Nurse uniform wearing practices were not exceptionally prevalent in Northwest Ethiopian hospitals. However, encouraging students to pursue interest-based careers and implementing a nurse uniform wearing policy may have the potential to improve such practices.

Exact one-sided confidence limits for the difference between two correlated proportions.

PubMed

Lloyd, Chris J; Moldovan, Max V

2007-08-15

We construct exact and optimal one-sided upper and lower confidence bounds for the difference between two probabilities based on matched binary pairs using well-established optimality theory of Buehler. Starting with five different approximate lower and upper limits, we adjust them to have coverage probability exactly equal to the desired nominal level and then compare the resulting exact limits by their mean size. Exact limits based on the signed root likelihood ratio statistic are preferred and recommended for practical use.

Statistical learning algorithms for identifying contrasting tillage practices with landsat thematic mapper data

USDA-ARS?s Scientific Manuscript database

Tillage management practices have direct impact on water holding capacity, evaporation, carbon sequestration, and water quality. This study examines the feasibility of two statistical learning algorithms, such as Least Square Support Vector Machine (LSSVM) and Relevance Vector Machine (RVM), for cla...

MAFsnp: A Multi-Sample Accurate and Flexible SNP Caller Using Next-Generation Sequencing Data

PubMed Central

Hu, Jiyuan; Li, Tengfei; Xiu, Zidi; Zhang, Hong

2015-01-01

Most existing statistical methods developed for calling single nucleotide polymorphisms (SNPs) using next-generation sequencing (NGS) data are based on Bayesian frameworks, and there does not exist any SNP caller that produces p-values for calling SNPs in a frequentist framework. To fill in this gap, we develop a new method MAFsnp, a Multiple-sample based Accurate and Flexible algorithm for calling SNPs with NGS data. MAFsnp is based on an estimated likelihood ratio test (eLRT) statistic. In practical situation, the involved parameter is very close to the boundary of the parametric space, so the standard large sample property is not suitable to evaluate the finite-sample distribution of the eLRT statistic. Observing that the distribution of the test statistic is a mixture of zero and a continuous part, we propose to model the test statistic with a novel two-parameter mixture distribution. Once the parameters in the mixture distribution are estimated, p-values can be easily calculated for detecting SNPs, and the multiple-testing corrected p-values can be used to control false discovery rate (FDR) at any pre-specified level. With simulated data, MAFsnp is shown to have much better control of FDR than the existing SNP callers. Through the application to two real datasets, MAFsnp is also shown to outperform the existing SNP callers in terms of calling accuracy. An R package “MAFsnp” implementing the new SNP caller is freely available at http://homepage.fudan.edu.cn/zhangh/softwares/. PMID:26309201

Distinguishing between statistical significance and practical/clinical meaningfulness using statistical inference.

PubMed

Wilkinson, Michael

2014-03-01

Decisions about support for predictions of theories in light of data are made using statistical inference. The dominant approach in sport and exercise science is the Neyman-Pearson (N-P) significance-testing approach. When applied correctly it provides a reliable procedure for making dichotomous decisions for accepting or rejecting zero-effect null hypotheses with known and controlled long-run error rates. Type I and type II error rates must be specified in advance and the latter controlled by conducting an a priori sample size calculation. The N-P approach does not provide the probability of hypotheses or indicate the strength of support for hypotheses in light of data, yet many scientists believe it does. Outcomes of analyses allow conclusions only about the existence of non-zero effects, and provide no information about the likely size of true effects or their practical/clinical value. Bayesian inference can show how much support data provide for different hypotheses, and how personal convictions should be altered in light of data, but the approach is complicated by formulating probability distributions about prior subjective estimates of population effects. A pragmatic solution is magnitude-based inference, which allows scientists to estimate the true magnitude of population effects and how likely they are to exceed an effect magnitude of practical/clinical importance, thereby integrating elements of subjective Bayesian-style thinking. While this approach is gaining acceptance, progress might be hastened if scientists appreciate the shortcomings of traditional N-P null hypothesis significance testing.

Efficacy and Physicochemical Evaluation of an Optimized Semisolid Formulation of Povidone Iodine Proposed by Extreme Vertices Statistical Design; a Practical Approach

PubMed Central

Lotfipour, Farzaneh; Valizadeh, Hadi; Shademan, Shahin; Monajjemzadeh, Farnaz

2015-01-01

One of the most significant issues in pharmaceutical industries, prior to commercialization of a pharmaceutical preparation is the "preformulation" stage. However, far too attention has been paid to verification of the software assisted statistical designs in preformulation studies. The main aim of this study was to report a step by step preformulation approach for a semisolid preparation based on a statistical mixture design and to verify the predictions made by the software with an in-vitro efficacy bioassay test. Extreme vertices mixture design (4 factors, 4 levels) was applied for preformulation of a semisolid Povidone Iodine preparation as Water removable ointment using different PolyEthylenGlycoles. Software Assisted (Minitab) analysis was then performed using four practically assessed response values including; Available iodine, viscosity (N index and yield value) and water absorption capacity. Subsequently mixture analysis was performed and finally, an optimized formulation was proposed. The efficacy of this formulation was bio-assayed using microbial tests in-vitro and MIC values were calculated for Escherichia coli, pseudomonaaeruginosa, staphylococcus aureus and Candida albicans. Results indicated the acceptable conformity of the measured responses. Thus, it can be concluded that the proposed design had an adequate power to predict the responses in practice. Stability studies, proved no significant change during the one year study for the optimized formulation. Efficacy was eligible on all tested species and in the case of staphylococcus aureus; the prepared semisolid formulation was even more effective. PMID:26664368

Applications of statistics to medical science (1) Fundamental concepts.

PubMed

Watanabe, Hiroshi

2011-01-01

The conceptual framework of statistical tests and statistical inferences are discussed, and the epidemiological background of statistics is briefly reviewed. This study is one of a series in which we survey the basics of statistics and practical methods used in medical statistics. Arguments related to actual statistical analysis procedures will be made in subsequent papers.

A Statistical Method for Synthesizing Mediation Analyses Using the Product of Coefficient Approach Across Multiple Trials

PubMed Central

Huang, Shi; MacKinnon, David P.; Perrino, Tatiana; Gallo, Carlos; Cruden, Gracelyn; Brown, C Hendricks

2016-01-01

Mediation analysis often requires larger sample sizes than main effect analysis to achieve the same statistical power. Combining results across similar trials may be the only practical option for increasing statistical power for mediation analysis in some situations. In this paper, we propose a method to estimate: 1) marginal means for mediation path a, the relation of the independent variable to the mediator; 2) marginal means for path b, the relation of the mediator to the outcome, across multiple trials; and 3) the between-trial level variance-covariance matrix based on a bivariate normal distribution. We present the statistical theory and an R computer program to combine regression coefficients from multiple trials to estimate a combined mediated effect and confidence interval under a random effects model. Values of coefficients a and b, along with their standard errors from each trial are the input for the method. This marginal likelihood based approach with Monte Carlo confidence intervals provides more accurate inference than the standard meta-analytic approach. We discuss computational issues, apply the method to two real-data examples and make recommendations for the use of the method in different settings. PMID:28239330

Do physicians understand cancer screening statistics? A national survey of primary care physicians in the United States.

PubMed

Wegwarth, Odette; Schwartz, Lisa M; Woloshin, Steven; Gaissmaier, Wolfgang; Gigerenzer, Gerd

2012-03-06

Unlike reduced mortality rates, improved survival rates and increased early detection do not prove that cancer screening tests save lives. Nevertheless, these 2 statistics are often used to promote screening. To learn whether primary care physicians understand which statistics provide evidence about whether screening saves lives. Parallel-group, randomized trial (randomization controlled for order effect only), conducted by Internet survey. (ClinicalTrials.gov registration number: NCT00981019) National sample of U.S. primary care physicians from a research panel maintained by Harris Interactive (79% cooperation rate). 297 physicians who practiced both inpatient and outpatient medicine were surveyed in 2010, and 115 physicians who practiced exclusively outpatient medicine were surveyed in 2011. Physicians received scenarios about the effect of 2 hypothetical screening tests: The effect was described as improved 5-year survival and increased early detection in one scenario and as decreased cancer mortality and increased incidence in the other. Physicians' recommendation of screening and perception of its benefit in the scenarios and general knowledge of screening statistics. Primary care physicians were more enthusiastic about the screening test supported by irrelevant evidence (5-year survival increased from 68% to 99%) than about the test supported by relevant evidence (cancer mortality reduced from 2 to 1.6 in 1000 persons). When presented with irrelevant evidence, 69% of physicians recommended the test, compared with 23% when presented with relevant evidence (P < 0.001). When asked general knowledge questions about screening statistics, many physicians did not distinguish between irrelevant and relevant screening evidence; 76% versus 81%, respectively, stated that each of these statistics proves that screening saves lives (P = 0.39). About one half (47%) of the physicians incorrectly said that finding more cases of cancer in screened as opposed to unscreened populations "proves that screening saves lives." Physicians' recommendations for screening were based on hypothetical scenarios, not actual practice. Most primary care physicians mistakenly interpreted improved survival and increased detection with screening as evidence that screening saves lives. Few correctly recognized that only reduced mortality in a randomized trial constitutes evidence of the benefit of screening. Harding Center for Risk Literacy, Max Planck Institute for Human Development.

Statistical issues on the analysis of change in follow-up studies in dental research.

PubMed

Blance, Andrew; Tu, Yu-Kang; Baelum, Vibeke; Gilthorpe, Mark S

2007-12-01

To provide an overview to the problems in study design and associated analyses of follow-up studies in dental research, particularly addressing three issues: treatment-baselineinteractions; statistical power; and nonrandomization. Our previous work has shown that many studies purport an interacion between change (from baseline) and baseline values, which is often based on inappropriate statistical analyses. A priori power calculations are essential for randomized controlled trials (RCTs), but in the pre-test/post-test RCT design it is not well known to dental researchers that the choice of statistical method affects power, and that power is affected by treatment-baseline interactions. A common (good) practice in the analysis of RCT data is to adjust for baseline outcome values using ancova, thereby increasing statistical power. However, an important requirement for ancova is there to be no interaction between the groups and baseline outcome (i.e. effective randomization); the patient-selection process should not cause differences in mean baseline values across groups. This assumption is often violated for nonrandomized (observational) studies and the use of ancova is thus problematic, potentially giving biased estimates, invoking Lord's paradox and leading to difficulties in the interpretation of results. Baseline interaction issues can be overcome by use of statistical methods; not widely practiced in dental research: Oldham's method and multilevel modelling; the latter is preferred for its greater flexibility to deal with more than one follow-up occasion as well as additional covariates To illustrate these three key issues, hypothetical examples are considered from the fields of periodontology, orthodontics, and oral implantology. Caution needs to be exercised when considering the design and analysis of follow-up studies. ancova is generally inappropriate for nonrandomized studies and causal inferences from observational data should be avoided.

Spatial Autocorrelation Approaches to Testing Residuals from Least Squares Regression

PubMed Central

Chen, Yanguang

2016-01-01

In geo-statistics, the Durbin-Watson test is frequently employed to detect the presence of residual serial correlation from least squares regression analyses. However, the Durbin-Watson statistic is only suitable for ordered time or spatial series. If the variables comprise cross-sectional data coming from spatial random sampling, the test will be ineffectual because the value of Durbin-Watson’s statistic depends on the sequence of data points. This paper develops two new statistics for testing serial correlation of residuals from least squares regression based on spatial samples. By analogy with the new form of Moran’s index, an autocorrelation coefficient is defined with a standardized residual vector and a normalized spatial weight matrix. Then by analogy with the Durbin-Watson statistic, two types of new serial correlation indices are constructed. As a case study, the two newly presented statistics are applied to a spatial sample of 29 China’s regions. These results show that the new spatial autocorrelation models can be used to test the serial correlation of residuals from regression analysis. In practice, the new statistics can make up for the deficiencies of the Durbin-Watson test. PMID:26800271

The questioned p value: clinical, practical and statistical significance.

PubMed

Jiménez-Paneque, Rosa

2016-09-09

The use of p-value and statistical significance have been questioned since the early 80s in the last century until today. Much has been discussed about it in the field of statistics and its applications, especially in Epidemiology and Public Health. As a matter of fact, the p-value and its equivalent, statistical significance, are difficult concepts to grasp for the many health professionals some way involved in research applied to their work areas. However, its meaning should be clear in intuitive terms although it is based on theoretical concepts of the field of Statistics. This paper attempts to present the p-value as a concept that applies to everyday life and therefore intuitively simple but whose proper use cannot be separated from theoretical and methodological elements of inherent complexity. The reasons behind the criticism received by the p-value and its isolated use are intuitively explained, mainly the need to demarcate statistical significance from clinical significance and some of the recommended remedies for these problems are approached as well. It finally refers to the current trend to vindicate the p-value appealing to the convenience of its use in certain situations and the recent statement of the American Statistical Association in this regard.

Motion/visual cueing requirements for vortex encounters during simulated transport visual approach and landing

NASA Technical Reports Server (NTRS)

Parrish, R. V.; Bowles, R. L.

1983-01-01

This paper addresses the issues of motion/visual cueing fidelity requirements for vortex encounters during simulated transport visual approaches and landings. Four simulator configurations were utilized to provide objective performance measures during simulated vortex penetrations, and subjective comments from pilots were collected. The configurations used were as follows: fixed base with visual degradation (delay), fixed base with no visual degradation, moving base with visual degradation (delay), and moving base with no visual degradation. The statistical comparisons of the objective measures and the subjective pilot opinions indicated that although both minimum visual delay and motion cueing are recommended for the vortex penetration task, the visual-scene delay characteristics were not as significant a fidelity factor as was the presence of motion cues. However, this indication was applicable to a restricted task, and to transport aircraft. Although they were statistically significant, the effects of visual delay and motion cueing on the touchdown-related measures were considered to be of no practical consequence.

Statistical study of generalized nonlinear phase step estimation methods in phase-shifting interferometry.

PubMed

Langoju, Rajesh; Patil, Abhijit; Rastogi, Pramod

2007-11-20

Signal processing methods based on maximum-likelihood theory, discrete chirp Fourier transform, and spectral estimation methods have enabled accurate measurement of phase in phase-shifting interferometry in the presence of nonlinear response of the piezoelectric transducer to the applied voltage. We present the statistical study of these generalized nonlinear phase step estimation methods to identify the best method by deriving the Cramér-Rao bound. We also address important aspects of these methods for implementation in practical applications and compare the performance of the best-identified method with other bench marking algorithms in the presence of harmonics and noise.

Nursing students' knowledge and practices of standard precautions: A Jordanian web-based survey.

PubMed

AL-Rawajfah, Omar M; Tubaishat, Ahmad

2015-12-01

The main purpose of this web-based survey was to evaluate Jordanian nursing students' knowledge and practice of standard precautions. A cross-sectional, descriptive design was used. Six public and four private Jordanian universities were invited to participate in the study. Approximately, seventeen hundred nursing students in the participating universities were invited via the students' portal on the university electronic system. For schools without an electronic system, students received invitations sent to their personal commercial email. The final sample size was 594 students; 65.3% were female with mean age of 21.2 years (SD=2.6). The majority of the sample was 3rd year students (42.8%) who had no previous experience working as nurses (66.8%). The mean total knowledge score was 13.8 (SD=3.3) out of 18. On average, 79.9% of the knowledge questions were answered correctly. The mean total practice score was 67.4 (SD=9.9) out of 80. There was no significant statistical relationship between students' total knowledge and total practice scores (r=0.09, p=0.032). Jordanian nursing educators are challenged to introduce different teaching modalities to effectively translate theoretical infection control knowledge into safe practices. Published by Elsevier Ltd.

Network meta-analysis: a technique to gather evidence from direct and indirect comparisons

PubMed Central

2017-01-01

Systematic reviews and pairwise meta-analyses of randomized controlled trials, at the intersection of clinical medicine, epidemiology and statistics, are positioned at the top of evidence-based practice hierarchy. These are important tools to base drugs approval, clinical protocols and guidelines formulation and for decision-making. However, this traditional technique only partially yield information that clinicians, patients and policy-makers need to make informed decisions, since it usually compares only two interventions at the time. In the market, regardless the clinical condition under evaluation, usually many interventions are available and few of them have been studied in head-to-head studies. This scenario precludes conclusions to be drawn from comparisons of all interventions profile (e.g. efficacy and safety). The recent development and introduction of a new technique – usually referred as network meta-analysis, indirect meta-analysis, multiple or mixed treatment comparisons – has allowed the estimation of metrics for all possible comparisons in the same model, simultaneously gathering direct and indirect evidence. Over the last years this statistical tool has matured as technique with models available for all types of raw data, producing different pooled effect measures, using both Frequentist and Bayesian frameworks, with different software packages. However, the conduction, report and interpretation of network meta-analysis still poses multiple challenges that should be carefully considered, especially because this technique inherits all assumptions from pairwise meta-analysis but with increased complexity. Thus, we aim to provide a basic explanation of network meta-analysis conduction, highlighting its risks and benefits for evidence-based practice, including information on statistical methods evolution, assumptions and steps for performing the analysis. PMID:28503228

The effect of a Web-based education programme (WBEP) on disease severity, quality of life and mothers' self-efficacy in children with atopic dermatitis.

PubMed

Son, Hae Kyoung; Lim, Jiyoung

2014-10-01

To develop and evaluate the effects of a web-based education programme in early childhood for children with atopic dermatitis. The prevalence rate of atopic dermatitis is highest in early childhood. A holistic approach is urgently needed for young children with respect to disease severity, quality of life and management, particularly parental knowledge about atopic dermatitis and adherence to treatment. A quasi-experimental study design was used. A total of 40 mother-child dyads participated in the study from 1 July-30 November 2011 in Korea. All children were under 3 years of age. The programme was based on the Network-Based Instructional System Design model, which consists of five phases: analysis, design, development, implementation and evaluation. The experimental group participated in the programme for 2 weeks. Participants took part in a learning session during the first week and then conducted the practice session at home during the second week. Participant knowledge and compliance were evaluated through online quizzes and self-checklists. Statistical analyses (chi-square test and t-test) were performed using the Statistical Analysis System, Version 9.13. There was a significant improvement in disease severity, quality of life and mothers' self-efficacy in the experimental group; thus, the web-based education programme was effective. The web-based education programme as an advanced intervention may be useful in providing basic data for future atopic dermatitis-related studies. Moreover, the programme may serve as a nursing educational intervention tool for clinical nursing practices. © 2014 John Wiley & Sons Ltd.

Introducing the Postsecondary Instructional Practices Survey (PIPS): A Concise, Interdisciplinary, and Easy-to-Score Survey

PubMed Central

Walter, Emily M.; Henderson, Charles R.; Beach, Andrea L.; Williams, Cody T.

2016-01-01

Researchers, administrators, and policy makers need valid and reliable information about teaching practices. The Postsecondary Instructional Practices Survey (PIPS) is designed to measure the instructional practices of postsecondary instructors from any discipline. The PIPS has 24 instructional practice statements and nine demographic questions. Users calculate PIPS scores by an intuitive proportion-based scoring convention. Factor analyses from 72 departments at four institutions (N = 891) support a 2- or 5-factor solution for the PIPS; both models include all 24 instructional practice items and have good model fit statistics. Factors in the 2-factor model include (a) instructor-centered practices, nine items; and (b) student-centered practices, 13 items. Factors in the 5-factor model include (a) student–student interactions, six items; (b) content delivery, four items; (c) formative assessment, five items; (d) student-content engagement, five items; and (e) summative assessment, four items. In this article, we describe our development and validation processes, provide scoring conventions and outputs for results, and describe wider applications of the instrument. PMID:27810868

Providing written language services in the schools: the time is now.

PubMed

Fallon, Karen A; Katz, Lauren A

2011-01-01

The current study was conducted to investigate the provision of written language services by school-based speech-language pathologists (SLPs). Specifically, the study examined SLPs' knowledge, attitudes, and collaborative practices in the area of written language services as well as the variables that impact provision of these services. Public school-based SLPs from across the country were solicited for participation in an online, Web-based survey. Data from 645 full-time SLPs from 49 states were evaluated using descriptive statistics and logistic regression. Many school-based SLPs reported not providing any services in the area of written language to students with written language weaknesses. Knowledge, attitudes, and collaborative practices were mixed. A logistic regression revealed three variables likely to predict high levels of service provision in the area of written language. Data from the current study revealed that many struggling readers and writers on school-based SLPs' caseloads are not receiving services from their SLPs. Implications for SLPs' preservice preparation, continuing education, and doctoral preparation are discussed.

Changing clinicians' behavior: a randomized controlled trial of fees and education.

PubMed

Clarkson, J E; Turner, S; Grimshaw, J M; Ramsay, C R; Johnston, M; Scott, A; Bonetti, D; Tilley, C J; Maclennan, G; Ibbetson, R; Macpherson, L M D; Pitts, N B

2008-07-01

The fissure-sealing of newly erupted molars is an effective caries prevention treatment, but remains underutilized. Two plausible reasons are the financial disincentive produced by the dental remuneration system, and dentists' lack of awareness of evidence-based practice. The primary hypothesis was that implementation strategies based on remuneration or training in evidence-based healthcare would produce a higher proportion of children receiving sealed second permanent molars than standard care. The four study arms were: fee per sealant treatment, education in evidence-based practice, fee plus education, and control. A cost-effectiveness analysis was conducted. Analysis was based on 133 dentists and 2833 children. After adjustment for baseline differences, the primary outcome was 9.8% higher when a fee was offered. The education intervention had no statistically significant effect. 'Fee only' was the most cost-effective intervention. The study contributes to the incentives in health care provision debate, and led to the introduction of a direct fee for this treatment.

Statistical Significance vs. Practical Significance: An Exploration through Health Education

ERIC Educational Resources Information Center

Rosen, Brittany L.; DeMaria, Andrea L.

2012-01-01

The purpose of this paper is to examine the differences between statistical and practical significance, including strengths and criticisms of both methods, as well as provide information surrounding the application of various effect sizes and confidence intervals within health education research. Provided are recommendations, explanations and…

Governance of professional nursing practice in a hospital setting: a mixed methods study.

PubMed

dos Santos, José Luís Guedes; Erdmann, Alacoque Lorenzini

2015-01-01

To elaborate an interpretative model for the governance of professional nursing practice in a hospital setting. A mixed methods study with concurrent triangulation strategy, using data from a cross-sectional study with 106 nurses and a Grounded Theory study with 63 participants. The quantitative data were collected through the Brazilian Nursing Work Index - Revised and underwent descriptive statistical analysis. Qualitative data were obtained from interviews and analyzed through initial, selective and focused coding. Based on the results obtained with the Brazilian Nursing Work Index - Revised, it is possible to state that nurses perceived that they had autonomy, control over the environment, good relationships with physicians and organizational support for nursing governance. The governance of the professional nursing practice is based on the management of nursing care and services carried out by the nurses. To perform these tasks, nurses aim to get around the constraints of the organizational support and develop management knowledge and skills. It is important to reorganize the structures and processes of nursing governance, especially the support provided by the organization for the management practices of nurses.

[Analysis of clinical use of Danhong injection based on hospital information system].

PubMed

Chen, Qian; Yi, Danhui; Xie, Yanming; Yang, Wei; Yang, Wei; Zhuang, Yan; Du, Jing

2011-10-01

To know how Danhong injection is used in clinical practice and to provide a reference for guiding clinical use of Danhong Injection. Extract Danhong injection's post-marketing re-evaluation data from the Hospital Information System of ten three grade III-A General Hospitals in Beijing, use basic statistical analysis methods to analyze Danhong injection's indications, usage and dosage, days of treatment etc. in clinical practice. In patients using Danhong injection, there were more than 60 percent patients were prescribed based on main-diagnosis, first-visit and other diagnosis, which were also coincided with Danhong injection's instruction. In clinical practice, 95.5 percent of Danhong injection's administration routes conformed to the instruction and more than 90 percent of Danhong injection's dosage were within the limits prescribed by the instruction. Danhong injection was used less than 20 days successively. Danhong injection was used in combination with drugs with the action of removing blood stasis, antianginal drug, antiplatelet drug, drugs for cerebrovascular disease and so on. Danhong injection has been used according to instruction in practice almostly.

Industry structures in private dental markets in Finland.

PubMed

Widström, E; Mikkola, H

2012-12-01

To use industrial organisation and organisational ecology research methods to survey industry structures and performance in the markets for private dental services and the effect of competition. Data on practice characteristics, performance, and perceived competition were collected from full-time private dentists (n = 1,121) using a questionnaire. The response rate was 59.6%. Cluster analysis was used to identify practice type based on service differentiation and process integration variables formulated from the questionnaire. Four strategic groups were identified in the Finnish markets: Solo practices formed one distinct group and group practices were classified into three clusters Integrated practices, Small practices, and Loosely integrated practices. Statistically significant differences were found in performance and perceived competitiveness between the groups. Integrated practices with the highest level of process integration and service differentiation performed better than solo and small practices. Moreover, loosely integrated and small practices outperformed solo practises. Competitive intensity was highest among small practices which had a low level of service differentiation and was above average among solo practises. Private dental care providers that had differentiated their services from public services and that had a high number of integrated service production processes enjoyed higher performance and less competitive pressures than those who had not.

Evidence-Based Practice Beliefs and Implementation in Doctor of Nursing Practice Students.

PubMed

Singleton, Joanne K

2017-10-01

Doctors of Nursing Practice focus on leadership in evidence-based practice (EBP). EBP is influenced by one's beliefs in and implementation of EBP. Little is known to date about the EBP beliefs and implementation of Doctor of Nursing Practice students and outcomes of Doctor of Nursing Practice education. Guided by the Advancing Research and Clinical practice through close Collaboration (ARCC) Model, the Evidence-Based Practice Beliefs (EBPB) and Implementation (EBPI) tools were used to assess the impact of EBP as a program pillar, curricular thread, and content area on EBPB and EBPI of Doctor of Nursing Practice-Family Nurse Practitioner students. Five cohorts who completed the same curriculum were studied. Fifty-four of the 89 students across the five cohorts began and completed the study. Paired t-test for group effects showed statistical significance from pre- to post-measure in students overall EBPB, t = 4.4 (52), p < .001, and EBPI, t = 8.4 (52), p < .001. A large effect size of .75 standard deviation (SD) gain above the mean for EBPB, and a very large effect size of 1 SD gain above the mean for EBPI were observed. Repeated measures ANOVA showed that all cohorts made gains across the curriculum. Effect sizes for EBPB ranged from .25 to 1 SD above the mean, and .75 to 1.5 for EBPI. DNP students who are educated to be EBP leaders must have a curriculum that supports them in the knowledge and skill-set needed to translate evidence into practice. The ARCC Model can guide faculty in EBP curriculum development. EBPB and EBPI are valid and reliable measures to assess for gains across a curriculum. Through educational outcomes, educators can assess desired student outcomes for EBP across a curriculum and can build an evidence base for ongoing curriculum development. © 2017 Sigma Theta Tau International.

Comparison of lifestyle and practice patterns between male and female Canadian ophthalmologists.

PubMed

McAlister, Chryssa; Jin, Ya-Ping; Braga-Mele, Rosa; DesMarchais, Beatrice F; Buys, Yvonne M

2014-06-01

To identify sex differences in lifestyle and practice patterns of Canadian ophthalmologists. Web-based national survey. Members of the Canadian Ophthalmological Society. A 48-item questionnaire was sent electronically. Analysis of results was completed using χ(2) and Fisher's exact tests where appropriate. Of 385 respondents (30%), 102 were female and 283 male. Several statistically significant differences exist in lifestyle and practice patterns. Fifty-one percent of females operate less than 2 days per month as compared with 36% of males (p = 0.01) despite similar clinical hours. No statistically significant differences were found in other practice pattern parameters including laser refractive surgery, hospital affiliation, university appointment/rank, and number of peer-review publications. Ninety percent of males and 81% of females report having ≥1 children, but males report greater number of children (p < 0.001). Females are commonly the primary caregiver, whereas males report their partner as primary caregiver (p < 0.001). Fifty-two percent of females are unhappy with the amount of parental leave (p < 0.001). Fifty-one percent of females believe that childbearing slowed or markedly slowed career progress, as compared with 15% of males (p < 0.001). Both female (83%) and male (87%) ophthalmologists report high career satisfaction (p = 0.43). Differences in practice patterns between males and females in our analysis surround surgical time, with no difference seen in other practice patterns or academic achievements. Differences in family patterns surround household and childrearing duties. Despite differences, both males and females report high satisfaction across several professional and personal parameters. Compared with previous studies, this suggests a change in practice patterns over time. Copyright © 2014 Canadian Ophthalmological Society. Published by Elsevier Inc. All rights reserved.

Comparative study on drug safety surveillance between medical students of Malaysia and Nigeria

PubMed Central

Abubakar, Abdullahi Rabiu; Ismail, Salwani; Rahman, Nor Iza A; Haque, Mainul

2015-01-01

Background Internationally, there is a remarkable achievement in the areas of drug discovery, drug design, and clinical trials. New and efficient drug formulation techniques are widely available which have led to success in treatment of several diseases. Despite these achievements, large number of patients continue to experience adverse drug reactions (ADRs), and majority of them are yet to be on record. Objectives The purpose of this survey is to compare knowledge, attitude, and practice with respect to ADRs and pharmacovigilance (PV) between medical students of Malaysia and Nigeria and to determine if there is a relationship between their knowledge and practice. Method A cross-sectional, questionnaire-based survey involving year IV and year V medical students of the Department of Medicine, Universiti Sultan Zainal Abidin and Bayero University Kano was carried out. The questionnaire which comprised 25 questions on knowledge, attitude, and practice was adopted, modified, validated, and administered to them. The response was analyzed using SPSS version 20. Results The response rate from each country was 74%. There was a statistically significant difference in mean knowledge and practice score on ADRs and PV between medical students of Malaysia and Nigeria, both at P<0.000. No significance difference in attitude was observed at P=0.389. Also, a statistically significant relationship was recorded between their knowledge and practice (r=0.229, P=0.001), although the relationship was weak. Conclusion Nigerian medical students have better knowledge and practice than those of Malaysia, although they need improvement. Imparting knowledge of ADRs and PV among medical students will upgrade their practice and enhance health care delivery services in the future. PMID:26170680

Interprofessional education increases knowledge, promotes team building, and changes practice in the care of Parkinson's disease.

PubMed

Cohen, Elaine V; Hagestuen, Ruth; González-Ramos, Gladys; Cohen, Hillel W; Bassich, Celia; Book, Elaine; Bradley, Kathy P; Carter, Julie H; Di Minno, Mariann; Gardner, Joan; Giroux, Monique; González, Manny J; Holten, Sandra; Joseph, Ricky; Kornegay, Denise D; Simpson, Patricia A; Tomaino, Concetta M; Vandendolder, Richard P; Walde-Douglas, Maria; Wichmann, Rosemary; Morgan, John C

2016-01-01

Examine outcomes for the National Parkinson Foundation (NPF) Allied Team Training for Parkinson (ATTP), an interprofessional education (IPE) program in Parkinson's disease (PD) and team-based care for medicine, nursing, occupational, physical and music therapies, physician assistant, social work and speech-language pathology disciplines. Healthcare professionals need education in evidence-based PD practices and working effectively in teams. Few evidence-based models of IPE in PD exist. Knowledge about PD, team-based care, the role of other disciplines and attitudes towards healthcare teams were measured before and after a protocol-driven training program. Knowledge, attitudes and practice changes were again measured at 6-month post-training. Trainee results were compared to results of controls. Twenty-six NPF-ATTP trainings were held across the U.S. (2003-2013). Compared to control participants (n = 100), trainees (n = 1468) showed statistically significant posttest improvement in all major outcomes, including self-perceived (p < 0.001) and objective knowledge (p < 0.001), Understanding Role of Other Disciplines (p < 0.001), Attitudes Toward Health Care Teams Scale (p < 0.001), and the Attitudes Toward Value of Teams (p < 0.001) subscale. Despite some decline, significant improvements were largely sustained at six-month post-training. Qualitative analyses confirmed post-training practice changes. The NPF-ATTP model IPE program showed sustained positive gains in knowledge of PD, team strategies and role of other disciplines, team attitudes, and important practice improvements. Further research should examine longer-term outcomes, objectively measure practice changes and mediators, and determine impact on patient outcomes. Copyright © 2015 Elsevier Ltd. All rights reserved.

Development and Two-Year Follow-Up Evaluation of a Training Workshop for the Large Preventive Positive Psychology Happy Family Kitchen Project in Hong Kong

PubMed Central

Lai, Agnes Y.; Mui, Moses W.; Wan, Alice; Stewart, Sunita M.; Yew, Carol; Lam, Tai-hing; Chan, Sophia S.

2016-01-01

Evidence-based practice and capacity-building approaches are essential for large-scale health promotion interventions. However, there are few models in the literature to guide and evaluate training of social service workers in community settings. This paper presents the development and evaluation of the “train-the-trainer” workshop (TTT) for the first large scale, community-based, family intervention projects, entitled “Happy Family Kitchen Project” (HFK) under the FAMILY project, a Hong Kong Jockey Club Initiative for a Harmonious Society. The workshop aimed to enhance social workers’ competence and performance in applying positive psychology constructs in their family interventions under HFK to improve family well-being of the community they served. The two-day TTT was developed and implemented by a multidisciplinary team in partnership with community agencies to 50 social workers (64% women). It focused on the enhancement of knowledge, attitude, and practice of five specific positive psychology themes, which were the basis for the subsequent development of the 23 family interventions for 1419 participants. Acceptability and applicability were enhanced by completing a needs assessment prior to the training. The TTT was evaluated by trainees’ reactions to the training content and design, changes in learners (trainees) and benefits to the service organizations. Focus group interviews to evaluate the workshop at three months after the training, and questionnaire survey at pre-training, immediately after, six months, one year and two years after training were conducted. There were statistically significant increases with large to moderate effect size in perceived knowledge, self-efficacy and practice after training, which sustained to 2-year follow-up. Furthermore, there were statistically significant improvements in family communication and well-being of the participants in the HFK interventions they implemented after training. This paper offers a practical example of development, implementation and model-based evaluation of training programs, which may be helpful to others seeking to develop such programs in diverse communities. PMID:26808541

Development and Two-Year Follow-Up Evaluation of a Training Workshop for the Large Preventive Positive Psychology Happy Family Kitchen Project in Hong Kong.

PubMed

Lai, Agnes Y; Mui, Moses W; Wan, Alice; Stewart, Sunita M; Yew, Carol; Lam, Tai-Hing; Chan, Sophia S

2016-01-01

Evidence-based practice and capacity-building approaches are essential for large-scale health promotion interventions. However, there are few models in the literature to guide and evaluate training of social service workers in community settings. This paper presents the development and evaluation of the "train-the-trainer" workshop (TTT) for the first large scale, community-based, family intervention projects, entitled "Happy Family Kitchen Project" (HFK) under the FAMILY project, a Hong Kong Jockey Club Initiative for a Harmonious Society. The workshop aimed to enhance social workers' competence and performance in applying positive psychology constructs in their family interventions under HFK to improve family well-being of the community they served. The two-day TTT was developed and implemented by a multidisciplinary team in partnership with community agencies to 50 social workers (64% women). It focused on the enhancement of knowledge, attitude, and practice of five specific positive psychology themes, which were the basis for the subsequent development of the 23 family interventions for 1419 participants. Acceptability and applicability were enhanced by completing a needs assessment prior to the training. The TTT was evaluated by trainees' reactions to the training content and design, changes in learners (trainees) and benefits to the service organizations. Focus group interviews to evaluate the workshop at three months after the training, and questionnaire survey at pre-training, immediately after, six months, one year and two years after training were conducted. There were statistically significant increases with large to moderate effect size in perceived knowledge, self-efficacy and practice after training, which sustained to 2-year follow-up. Furthermore, there were statistically significant improvements in family communication and well-being of the participants in the HFK interventions they implemented after training. This paper offers a practical example of development, implementation and model-based evaluation of training programs, which may be helpful to others seeking to develop such programs in diverse communities.

Trends in surface-water quality during implementation of best-management practices in Mill Creek and Muddy Run Basins, Lancaster County, Pennsylvania

USGS Publications Warehouse

Koerkle, Edward H.

2000-01-01

Analyses of water samples collected over a 5-year period (1993-98) in the Mill Creek and Muddy Run Basins during implementation of agricultural best-management practices (BMP’s) indicate statistically significant trends in the concentrations of several nutrient species and in nonfilterable residue (suspended solids). The strongest trends identified were those indicated by a more than 50- percent decrease in the flow-adjusted concentrations of total and dissolved phosphorus and total residue in base flow in the two streams. Analyses of stormflow samples showed a 31-percent decrease in the flow-adjusted concentration of total phosphorus in Mill Creek and a 54-percent decrease in total nonfilterable residue in Muddy Run. A 58-percent increase in the flow-adjusted concentration of total ammonia nitrogen in stormflow was found at Muddy Run.Although the effects of a specific BMP on the indicated trends is uncertain, results of statistical trend tests of the data suggest that stream fencing, possibly in concert with other practices, such as stream crossings for livestock, barnyard runoff control, manure-storage facilities, and rotational grazing, was effective in improving water quality during base flow and probably low to moderate stormflow conditions. Additional improvements in water quality in the Mill Creek and Muddy Run Basins seems likely as the implementation of BMP’s is expected to continue. Thus, the full effect of BMP implementation in the two basins may not be observed for some time.

Neuroscience and Values: A Case Study Illustrating Developments in Policy, Training and Research in the UK and Internationally**

PubMed Central

Fulford, K. W. M

2011-01-01

In the current climate of dramatic advances in the neurosciences, it has been widely assumed that the diagnosis of mental disorder is a matter exclusively for value-free science. Starting from a detailed case history, this paper describes how, to the contrary, values come into the diagnosis of mental disorders, directly through the criteria at the heart of psychiatry’s most scientifically grounded classification, the American Psychiatric Association’s DSM (Diagnostic and Statistical Manual). Various possible interpretations of the prominence of values in psychiatric diagnosis are outlined. Drawing on work in the Oxford analytic tradition of philosophy, it is shown that, properly understood, the prominence of psychiatric diagnostic values reflects the necessary engagement of psychiatry with the diversity of individual human values. This interpretation opens up psychiatric diagnostic assessment to the resources of a new skills-based approach to working with complex and conflicting values (also derived from analytic philosophy) called ‘values-based practice.’ Developments in values-based practice in training, policy and research in mental health are briefly outlined. The paper concludes with an indication of how the integration of values-based with evidence-based approaches provides the basis for psychiatric practice in the twenty-first century that is both science-based and person-centred. PMID:21694963

Improving quality of science through better animal welfare: the NC3Rs strategy.

PubMed

Prescott, Mark J; Lidster, Katie

2017-03-22

Good animal welfare is linked to the quality of research data derived from laboratory animals, their validity as models of human disease, the number of animals required to reach statistical significance and the reproducibility of in vivo studies. Identifying new ways of understanding and improving animal welfare, and promoting these in the scientific community, is therefore a key part of the work of the National Centre for the Replacement, Refinement and Reduction of Animals in Research (NC3Rs). Our strategy for animal welfare includes funding research to generate an evidence base to support refinements, office-led data sharing to challenge existing practices, events and networks to raise awareness of the evidence base, and the creation of online and other resources to support practical implementation of refinement opportunities.

Do Orthopaedic Surgeons Acknowledge Uncertainty?

PubMed

Teunis, Teun; Janssen, Stein; Guitton, Thierry G; Ring, David; Parisien, Robert

2016-06-01

Much of the decision-making in orthopaedics rests on uncertain evidence. Uncertainty is therefore part of our normal daily practice, and yet physician uncertainty regarding treatment could diminish patients' health. It is not known if physician uncertainty is a function of the evidence alone or if other factors are involved. With added experience, uncertainty could be expected to diminish, but perhaps more influential are things like physician confidence, belief in the veracity of what is published, and even one's religious beliefs. In addition, it is plausible that the kind of practice a physician works in can affect the experience of uncertainty. Practicing physicians may not be immediately aware of these effects on how uncertainty is experienced in their clinical decision-making. We asked: (1) Does uncertainty and overconfidence bias decrease with years of practice? (2) What sociodemographic factors are independently associated with less recognition of uncertainty, in particular belief in God or other deity or deities, and how is atheism associated with recognition of uncertainty? (3) Do confidence bias (confidence that one's skill is greater than it actually is), degree of trust in the orthopaedic evidence, and degree of statistical sophistication correlate independently with recognition of uncertainty? We created a survey to establish an overall recognition of uncertainty score (four questions), trust in the orthopaedic evidence base (four questions), confidence bias (three questions), and statistical understanding (six questions). Seven hundred six members of the Science of Variation Group, a collaboration that aims to study variation in the definition and treatment of human illness, were approached to complete our survey. This group represents mainly orthopaedic surgeons specializing in trauma or hand and wrist surgery, practicing in Europe and North America, of whom the majority is involved in teaching. Approximately half of the group has more than 10 years of experience. Two hundred forty-two (34%) members completed the survey. We found no differences between responders and nonresponders. Each survey item measured its own trait better than any of the other traits. Recognition of uncertainty (0.70) and confidence bias (0.75) had relatively high Cronbach alpha levels, meaning that the questions making up these traits are closely related and probably measure the same construct. This was lower for statistical understanding (0.48) and trust in the orthopaedic evidence base (0.37). Subsequently, combining each trait's individual questions, we calculated a 0 to 10 score for each trait. The mean recognition of uncertainty score was 3.2 ± 1.4. Recognition of uncertainty in daily practice did not vary by years in practice (0-5 years, 3.2 ± 1.3; 6-10 years, 2.9 ± 1.3; 11-20 years, 3.2 ± 1.4; 21-30 years, 3.3 ± 1.6 years; p = 0.51), but overconfidence bias did correlate with years in practice (0-5 years, 6.2 ± 1.4; 6-10 years, 7.1 ± 1.3; 11-20 years, 7.4 ± 1.4; 21-30 years, 7.1 ± 1.2 years; p < 0.001). Accounting for a potential interaction of variables using multivariable analysis, less recognition of uncertainty was independently but weakly associated with working in a multispecialty group compared with academic practice (β regression coefficient, -0.53; 95% confidence interval [CI], -1.0 to -0.055; partial R(2), 0.021; p = 0.029), belief in God or any other deity/deities (β, -0.57; 95% CI, -1.0 to -0.11; partial R(2), 0.026; p = 0.015), greater confidence bias (β, -0.26; 95% CI, -0.37 to -0.14; partial R(2), 0.084; p < 0.001), and greater trust in the orthopaedic evidence base (β, -0.16; 95% CI, -0.26 to -0.058; partial R(2), 0.040; p = 0.002). Better statistical understanding was independently, and more strongly, associated with greater recognition of uncertainty (β, 0.25; 95% CI, 0.17-0.34; partial R(2), 0.13; p < 0.001). Our full model accounted for 29% of the variability in recognition of uncertainty (adjusted R(2), 0.29). The relatively low levels of uncertainty among orthopaedic surgeons and confidence bias seem inconsistent with the paucity of definitive evidence. If patients want to be informed of the areas of uncertainty and surgeon-to-surgeon variation relevant to their care, it seems possible that a low recognition of uncertainty and surgeon confidence bias might hinder adequately informing patients, informed decisions, and consent. Moreover, limited recognition of uncertainty is associated with modifiable factors such as confidence bias, trust in orthopaedic evidence base, and statistical understanding. Perhaps improved statistical teaching in residency, journal clubs to improve the critique of evidence and awareness of bias, and acknowledgment of knowledge gaps at courses and conferences might create awareness about existing uncertainties. Level 1, prognostic study.

Seven Pervasive Statistical Flaws in Cognitive Training Interventions

PubMed Central

Moreau, David; Kirk, Ian J.; Waldie, Karen E.

2016-01-01

The prospect of enhancing cognition is undoubtedly among the most exciting research questions currently bridging psychology, neuroscience, and evidence-based medicine. Yet, convincing claims in this line of work stem from designs that are prone to several shortcomings, thus threatening the credibility of training-induced cognitive enhancement. Here, we present seven pervasive statistical flaws in intervention designs: (i) lack of power; (ii) sampling error; (iii) continuous variable splits; (iv) erroneous interpretations of correlated gain scores; (v) single transfer assessments; (vi) multiple comparisons; and (vii) publication bias. Each flaw is illustrated with a Monte Carlo simulation to present its underlying mechanisms, gauge its magnitude, and discuss potential remedies. Although not restricted to training studies, these flaws are typically exacerbated in such designs, due to ubiquitous practices in data collection or data analysis. The article reviews these practices, so as to avoid common pitfalls when designing or analyzing an intervention. More generally, it is also intended as a reference for anyone interested in evaluating claims of cognitive enhancement. PMID:27148010

On Conceptual Analysis as the Primary Qualitative Approach to Statistics Education Research in Psychology

ERIC Educational Resources Information Center

Petocz, Agnes; Newbery, Glenn

2010-01-01

Statistics education in psychology often falls disappointingly short of its goals. The increasing use of qualitative approaches in statistics education research has extended and enriched our understanding of statistical cognition processes, and thus facilitated improvements in statistical education and practices. Yet conceptual analysis, a…

Challenges in Biomarker Discovery: Combining Expert Insights with Statistical Analysis of Complex Omics Data

PubMed Central

McDermott, Jason E.; Wang, Jing; Mitchell, Hugh; Webb-Robertson, Bobbie-Jo; Hafen, Ryan; Ramey, John; Rodland, Karin D.

2012-01-01

Introduction The advent of high throughput technologies capable of comprehensive analysis of genes, transcripts, proteins and other significant biological molecules has provided an unprecedented opportunity for the identification of molecular markers of disease processes. However, it has simultaneously complicated the problem of extracting meaningful molecular signatures of biological processes from these complex datasets. The process of biomarker discovery and characterization provides opportunities for more sophisticated approaches to integrating purely statistical and expert knowledge-based approaches. Areas covered In this review we will present examples of current practices for biomarker discovery from complex omic datasets and the challenges that have been encountered in deriving valid and useful signatures of disease. We will then present a high-level review of data-driven (statistical) and knowledge-based methods applied to biomarker discovery, highlighting some current efforts to combine the two distinct approaches. Expert opinion Effective, reproducible and objective tools for combining data-driven and knowledge-based approaches to identify predictive signatures of disease are key to future success in the biomarker field. We will describe our recommendations for possible approaches to this problem including metrics for the evaluation of biomarkers. PMID:23335946

Challenges in Biomarker Discovery: Combining Expert Insights with Statistical Analysis of Complex Omics Data

DOE Office of Scientific and Technical Information (OSTI.GOV)

McDermott, Jason E.; Wang, Jing; Mitchell, Hugh D.

2013-01-01

The advent of high throughput technologies capable of comprehensive analysis of genes, transcripts, proteins and other significant biological molecules has provided an unprecedented opportunity for the identification of molecular markers of disease processes. However, it has simultaneously complicated the problem of extracting meaningful signatures of biological processes from these complex datasets. The process of biomarker discovery and characterization provides opportunities both for purely statistical and expert knowledge-based approaches and would benefit from improved integration of the two. Areas covered In this review we will present examples of current practices for biomarker discovery from complex omic datasets and the challenges thatmore » have been encountered. We will then present a high-level review of data-driven (statistical) and knowledge-based methods applied to biomarker discovery, highlighting some current efforts to combine the two distinct approaches. Expert opinion Effective, reproducible and objective tools for combining data-driven and knowledge-based approaches to biomarker discovery and characterization are key to future success in the biomarker field. We will describe our recommendations of possible approaches to this problem including metrics for the evaluation of biomarkers.« less

Laboratory medicine handoff gaps experienced by primary care practices: A report from the shared networks of collaborative ambulatory practices and partners (SNOCAP).

PubMed

West, David R; James, Katherine A; Fernald, Douglas H; Zelie, Claire; Smith, Maxwell L; Raab, Stephen S

2014-01-01

The majority of errors in laboratory medicine testing are thought to occur in the pre- and postanalytic testing phases, and a large proportion of these errors are secondary to failed handoffs. Because most laboratory tests originate in ambulatory primary care, understanding the gaps in handoff processes within and between laboratories and practices is imperative for patient safety. Therefore, the purpose of this study was to understand, based on information from primary care practice personnel, the perceived gaps in laboratory processes as a precursor to initiating process improvement activities. A survey was used to assess perceptions of clinicians, staff, and management personnel of gaps in handoffs between primary care practices and laboratories working in 21 Colorado primary care practices. Data were analyzed to determine statistically significant associations between categorical variables. In addition, qualitative analysis of responses to open-ended survey questions was conducted. Primary care practices consistently reported challenges and a desire/need to improve their efforts to systematically track laboratory test status, confirm receipt of laboratory results, and report results to patients. Automated tracking systems existed in roughly 61% of practices, and all but one of those had electronic health record-based tracking systems in place. One fourth of these electronic health record-enabled practices expressed sufficient mistrust in these systems to warrant the concurrent operation of an article-based tracking system as backup. Practices also reported 12 different procedures used to notify patients of test results, varying by test result type. The results highlight the lack of standardization and definition of roles in handoffs in primary care laboratory practices for test ordering, monitoring, and receiving and reporting test results. Results also identify high-priority gaps in processes and the perceptions by practice personnel that practice improvement in these areas is needed. Commonalities in these areas warrant the development and support of tools for use in primary care settings. © Copyright 2014 by the American Board of Family Medicine.

A detailed heterogeneous agent model for a single asset financial market with trading via an order book.

PubMed

Mota Navarro, Roberto; Larralde, Hernán

2017-01-01

We present an agent based model of a single asset financial market that is capable of replicating most of the non-trivial statistical properties observed in real financial markets, generically referred to as stylized facts. In our model agents employ strategies inspired on those used in real markets, and a realistic trade mechanism based on a double auction order book. We study the role of the distinct types of trader on the return statistics: specifically, correlation properties (or lack thereof), volatility clustering, heavy tails, and the degree to which the distribution can be described by a log-normal. Further, by introducing the practice of "profit taking", our model is also capable of replicating the stylized fact related to an asymmetry in the distribution of losses and gains.

A detailed heterogeneous agent model for a single asset financial market with trading via an order book

PubMed Central

2017-01-01

We present an agent based model of a single asset financial market that is capable of replicating most of the non-trivial statistical properties observed in real financial markets, generically referred to as stylized facts. In our model agents employ strategies inspired on those used in real markets, and a realistic trade mechanism based on a double auction order book. We study the role of the distinct types of trader on the return statistics: specifically, correlation properties (or lack thereof), volatility clustering, heavy tails, and the degree to which the distribution can be described by a log-normal. Further, by introducing the practice of “profit taking”, our model is also capable of replicating the stylized fact related to an asymmetry in the distribution of losses and gains. PMID:28245251

Privacy enhancing techniques - the key to secure communication and management of clinical and genomic data.

PubMed

De Moor, G J E; Claerhout, B; De Meyer, F

2003-01-01

To introduce some of the privacy protection problems related to genomics based medicine and to highlight the relevance of Trusted Third Parties (TTPs) and of Privacy Enhancing Techniques (PETs) in the restricted context of clinical research and statistics. Practical approaches based on two different pseudonymisation models, both for batch and interactive data collection and exchange, are described and analysed. The growing need of managing both clinical and genetic data raises important legal and ethical challenges. Protecting human rights in the realm of privacy, while optimising research potential and other statistical activities is a challenge that can easily be overcome with the assistance of a trust service provider offering advanced privacy enabling/enhancing solutions. As such, the use of pseudonymisation and other innovative Privacy Enhancing Techniques can unlock valuable data sources.

A review of CDC's Web-based Injury Statistics Query and Reporting System (WISQARS™): Planning for the future of injury surveillance✩

PubMed Central

Ballesteros, Michael F.; Webb, Kevin; McClure, Roderick J.

2017-01-01

Introduction The Centers for Disease Control and Prevention (CDC) developed the Web-based Injury Statistics Query and Reporting System (WISQARSTM) to meet the data needs of injury practitioners. In 2015, CDC completed a Portfolio Review of this system to inform its future development. Methods Evaluation questions addressed utilization, technology and innovation, data sources, and tools and training. Data were collected through environmental scans, a review of peer-reviewed and grey literature, a web search, and stakeholder interviews. Results Review findings led to specific recommendations for each evaluation question. Response CDC reviewed each recommendation and initiated several enhancements that will improve the ability of injury prevention practitioners to leverage these data, better make sense of query results, and incorporate findings and key messages into prevention practices. PMID:28454867

Evidence-based surgery: knowledge, attitudes, and perceived barriers among surgical trainees.

PubMed

Mittal, Rohin; Perakath, Benjamin

2010-01-01

This study was conducted to assess the knowledge and attitude of surgical trainees toward evidence-based medicine (EBM) and their perceived barriers to its practice. The McColl questionnaire and the BARRIERS scale were modified and incorporated into a single questionnaire, which was administered to all surgical trainees attending a Continuing Surgical Education meeting. Department of Surgery, Christian Medical College, Vellore, India. One hundred ten surgical trainees from 22 medical colleges. In all, 84.5% (93/110) trainees returned the questionnaire. The attitudes toward EBM were welcoming, although individual participants reported they welcomed EBM more than their colleagues did. Participants agreed that EBM was useful in everyday practice and that it improved patient care. About 50% of actual practice was considered evidence based. In all, 12.6% (10/89) of participants had received formal training in EBM, and 64.3% (54/84) of participants were aware of the Cochrane database of systemic reviews, but only 35.7% (30/84) read it regularly. Also, 67.8% (61/90) of respondents used protocols and guidelines developed by colleagues. However, 61.5% (56/91) of participants were interested in learning the skills of EBM. The terms absolute risk, relative risk, and clinical effectiveness were understood by >80% of respondents, whereas publication bias, confidence interval, and heterogeneity were poorly understood. The major barriers to practice of EBM were the inability to understand statistical analysis, inadequate facilities for implementation, lack of a single compiled source of literature, relevant literature not being readily available, and insufficient time on the job. Surgical trainees have a positive attitude towards EBM and have some familiarity with the common terms used in EBM. There is a need to increase awareness of, and provide access to, available sources of medical literature. Formal training in EBM, as well as basic statistical analysis, should form a part of the surgical curriculum to foster an environment favorable to the practice of EBM. Copyright © 2010 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Use of Social Narratives as an Evidence-Based Practice to Support Employment of Young Adults with Autism Spectrum Disorders: A Practitioner's Guide

ERIC Educational Resources Information Center

Thomas, Jamie; Nix, Susan

2017-01-01

The statistical data reports that current unemployment rates for young adults with an Autism Spectrum Disorder (ASD) in the United States is bleak. In 2004, Hurlbutt and Chalmers noted that difficulties obtaining and keeping employment are many times connected to issues involving social interactions and communication skills rather than performing…

Current irrigation practices in the central United States reduce drought and extreme heat impacts for maize and soybean, but not for wheat

USDA-ARS?s Scientific Manuscript database

In this study, we assessed the adaptive effects of irrigation on climatic risks for three crops (maize, soybean, and wheat) at the regional scale from 1981 to 2012 in the Central US. Based on yields of 183 counties for maize, 121 for soybean and 101 for wheat, statistical models were developed for i...

Weighting by Inverse Variance or by Sample Size in Random-Effects Meta-Analysis

ERIC Educational Resources Information Center

Marin-Martinez, Fulgencio; Sanchez-Meca, Julio

2010-01-01

Most of the statistical procedures in meta-analysis are based on the estimation of average effect sizes from a set of primary studies. The optimal weight for averaging a set of independent effect sizes is the inverse variance of each effect size, but in practice these weights have to be estimated, being affected by sampling error. When assuming a…

On the Development and Use of Large Chemical Similarity Networks, Informatics Best Practices and Novel Chemical Descriptors towards Materials Quantitative Structure Property Relationships

ERIC Educational Resources Information Center

Krein, Michael

2011-01-01

After decades of development and use in a variety of application areas, Quantitative Structure Property Relationships (QSPRs) and related descriptor-based statistical learning methods have achieved a level of infamy due to their misuse. The field is rife with past examples of overtrained models, overoptimistic performance assessment, and outright…

Common pitfalls in statistical analysis: Clinical versus statistical significance

PubMed Central

Ranganathan, Priya; Pramesh, C. S.; Buyse, Marc

2015-01-01

In clinical research, study results, which are statistically significant are often interpreted as being clinically important. While statistical significance indicates the reliability of the study results, clinical significance reflects its impact on clinical practice. The third article in this series exploring pitfalls in statistical analysis clarifies the importance of differentiating between statistical significance and clinical significance. PMID:26229754

Rural Doctors’ Views on and Experiences with Evidence-Based Medicine: The FrEEDoM Qualitative Study

PubMed Central

Hisham, Ranita; Liew, Su May; Ng, Chirk Jenn; Mohd Nor, Kamaliah; Osman, Iskandar Firzada; Ho, Gah Juan; Hamzah, Nurazira; Glasziou, Paul

2016-01-01

Background Evidence-based medicine is the integration of individual clinical expertise, best external evidence and patient values which was introduced more than two decades ago. Yet, primary care physicians in Malaysia face unique barriers in accessing scientific literature and applying it to their clinical practice. Aim This study aimed to explore the views and experiences of rural doctors’ about evidence-based medicine in their daily clinical practice in a rural primary care setting. Methods Qualitative methodology was used. The interviews were conducted in June 2013 in two rural health clinics in Malaysia. The participants were recruited using purposive sampling. Four focus group discussions with 15 medical officers and three individual in-depth interviews with family medicine specialists were carried out. All interviews were conducted using a topic guide and were audio-recorded, transcribed verbatim, checked and analyzed using a thematic approach. Results Key themes identified were: (1) doctors viewed evidence-based medicine mainly as statistics, research and guidelines, (2) reactions to evidence-based medicine were largely negative, (3) doctors relied on specialists, peers, guidelines and non-evidence based internet sources for information, (4) information sources were accessed using novel methods such as mobile applications and (5) there are several barriers to evidence-based practice, including doctor-, evidence-based medicine-, patient- and system-related factors. These included inadequacies in knowledge, attitude, management support, time and access to evidence-based information sources. Participants recommended the use of online services to support evidence-based practice in the rural settings. Conclusion The level of evidence-based practice is low in the rural setting due to poor awareness, knowledge, attitude and resources. Doctors use non-evidence based sources and access them through new methods such as messaging applications. Further research is recommended to develop and evaluate interventions to overcome the identified barriers. PMID:27031700

Enhanced detection and visualization of anomalies in spectral imagery

NASA Astrophysics Data System (ADS)

Basener, William F.; Messinger, David W.

2009-05-01

Anomaly detection algorithms applied to hyperspectral imagery are able to reliably identify man-made objects from a natural environment based on statistical/geometric likelyhood. The process is more robust than target identification, which requires precise prior knowledge of the object of interest, but has an inherently higher false alarm rate. Standard anomaly detection algorithms measure deviation of pixel spectra from a parametric model (either statistical or linear mixing) estimating the image background. The topological anomaly detector (TAD) creates a fully non-parametric, graph theory-based, topological model of the image background and measures deviation from this background using codensity. In this paper we present a large-scale comparative test of TAD against 80+ targets in four full HYDICE images using the entire canonical target set for generation of ROC curves. TAD will be compared against several statistics-based detectors including local RX and subspace RX. Even a perfect anomaly detection algorithm would have a high practical false alarm rate in most scenes simply because the user/analyst is not interested in every anomalous object. To assist the analyst in identifying and sorting objects of interest, we investigate coloring of the anomalies with principle components projections using statistics computed from the anomalies. This gives a very useful colorization of anomalies in which objects of similar material tend to have the same color, enabling an analyst to quickly sort and identify anomalies of highest interest.

Practices for rational use of blood components in a universitary hospital.

PubMed

Leão, Sydney Correia; Gomes, Mariana Araújo Bezerra; Aragão, Mila Cintra de Azevedo; Lobo, Iza Maria Fraga

2015-08-01

to produce improvements in transfusion practices through the implementation of an educational program for health professionals in a university hospital. this is an interventional and prospective study, with pre- and postanalysis of an educational intervention. The research was developed at the University Hospital of the Universidade Federal de Sergipe, involving participation of health professionals in the stage of training, during the month of February 2011, in addition to the monitoring of blood transfusions performed in the pre- and post-intervention periods. Transfusion practices were investigated upon request for transfusion or devolution of unused blood components. Knowledge of health professionals was assessed based on the responses to a questionnaire about transfusion practices. during the educative campaign, 63 professionals were trained, including 33 nurses or nursing technicians and 30 physicians. Among the doctors, there was a statistically significant gain of 20.1% in theoretical knowledge (p=0.037). Gain in the nursing group was even higher: 30.4% (p=0.016). The comparative analysis of transfusion request forms showed a non-significant decrease from 26.7 to 19.5% (p=0.31) in all forms with incomplete information. We also observed a statistically significant improvement in relation to the filling of four items of transfusion request. there was a significant improvement of the entire process related to blood transfusions after interventional project conducted in February 2011.

Use of empathy in psychiatric practice: constructivist grounded theory study

PubMed Central

Watling, Chris

2017-01-01

Background Psychiatry has faced significant criticism for overreliance on the Diagnostic and Statistical Manual of Mental Disorders (DSM) and medications with purported disregard for empathetic, humanistic interventions. Aims To develop an empirically based qualitative theory explaining how psychiatrists use empathy in day-to-day practice, to inform practice and teaching approaches. Method This study used constructivist grounded theory methodology to ask (a) ‘How do psychiatrists understand and use empathetic engagement in the day-to-day practice of psychiatry?’ and (b) ‘How do psychiatrists learn and teach the skills of empathetic engagement?’ The authors interviewed 17 academic psychiatrists and 4 residents and developed a theory by iterative coding of the collected data. Results This constructivist grounded theory of empathetic engagement in psychiatric practice considered three major elements: relational empathy, transactional empathy and instrumental empathy. As one moves from relational empathy through transactional empathy to instrumental empathy, the actions of the psychiatrist become more deliberate and interventional. Conclusions Participants were described by empathy-based interventions which are presented in a theory of ’empathetic engagement’. This is in contrast to a paradigm that sees psychiatry as purely based on neurobiological interventions, with psychotherapy and interpersonal interventions as completely separate activities from day-to-day psychiatric practice. Declaration of interest None. Copyright and usage © The Royal College of Psychiatrists 2017. This is an open access article distributed under the terms of the Creative Commons Non-Commercial, No Derivatives (CC BY-NC-ND) license. PMID:28243463

An exploratory international study into occupational therapy students' perceptions of professional identity.

PubMed

Ashby, Samantha E; Adler, Jessica; Herbert, Lisa

2016-08-01

The successful development and maintenance of professional identity is associated with professional development and retention in the health workforce. This paper explores students' perspectives on the ways pre-entry experiences and curricula content shape professional identity. An online cross-sectional survey was sent to students enrolled in the final year of entry-level programmes in five countries. Descriptive statistical analyses of data were completed. The results reflect the perceptions of 319 respondents from five countries. Respondents identified professional education (98%) and professional socialisation during placement (92%) as curricula components with the greatest influence on professional identity formation. Discipline-specific knowledge such as, occupation-focussed models and occupational science were ranked lower than these aspects of practice. The students' length of programme and level of entry-level programme did not impact on these results. When designing curricula educators need to be mindful that students perceive practice education and professional socialisation have the greatest affect on professional identity formation. The findings reinforce the need for curricula to provide students with a range of practice experiences, which allow the observation and application of occupation-based practices. It highlights a need for educators to provide university-based curricula activities, which better prepare students for a potential dissonance between explicit occupation-based curricula and observed practice education experiences. The study indicates the need for further research into the role curricula content, and in particular practice education, plays in the multidimensional formation of professional development within entry-level programmes. © 2016 Occupational Therapy Australia.

Digital Technology and Teacher Preparation: The Instructional Role of Social Media Among Pre-Service Teachers

NASA Astrophysics Data System (ADS)

Trytten, Bria Klotz

As social media use becomes more prevalent among teachers, it becomes vital to understand how teachers are using social media and what effects it has, if any, on teaching practices in the classroom. This study sought to explore the relationship between pre-service teachers' use of social media and their perceptions of inquiry-based science education, an important teaching best practice. This study is unique in that it explores pre-service teachers' use of three social media platforms--Twitter, Facebook, and Pinterest--and how pre-service teachers plan to apply them to classroom education. Previous studies focused on only one social media platform, usually Twitter or Facebook. This study surveyed 113 pre-service teachers in their 3rd or 4th year of school at one of two teacher colleges. The survey employed multiple choice, open-ended, and Likert-type questions to assess pre-service teachers' use of social media as well as their attitudes surrounding inquiry-based instruction. In order to better explain and analyze survey results, fourteen survey participants were interviewed with follow-up questions to elaborate on both social media use and inquiry attitudes. Findings indicated that the pre-service teachers used social media, and overwhelmingly Pinterest, to find lesson plans and classroom organizational ideas. Cited reasons for this practice included convenience, variety of lesson planning, and easily searchable databases. The study found statistical significance in that teachers who aspire to teach lower grade levels will turn to social media to find lesson plans more frequently than those who aspire to teach higher grade levels. The study found social media use had no statistically significant effect on the level of inquiry-based teaching that the participants aimed to achieve in their future classrooms.

Information Distribution Practices of Federal Statistical Agencies: The Census Bureau Example.

ERIC Educational Resources Information Center

Gey, Frederick C.

1993-01-01

Describes the current and historical distribution channels of the U.S. Bureau of the Census within a framework of distribution policies and practices for federal statistical information. The issues of reasonable distribution policies and the impact of technological change are discussed, and guidelines are offered. (Contains 26 references.) (EAM)

How Many Is Enough?—Statistical Principles for Lexicostatistics

PubMed Central

Zhang, Menghan; Gong, Tao

2016-01-01

Lexicostatistics has been applied in linguistics to inform phylogenetic relations among languages. There are two important yet not well-studied parameters in this approach: the conventional size of vocabulary list to collect potentially true cognates and the minimum matching instances required to confirm a recurrent sound correspondence. Here, we derive two statistical principles from stochastic theorems to quantify these parameters. These principles validate the practice of using the Swadesh 100- and 200-word lists to indicate degree of relatedness between languages, and enable a frequency-based, dynamic threshold to detect recurrent sound correspondences. Using statistical tests, we further evaluate the generality of the Swadesh 100-word list compared to the Swadesh 200-word list and other 100-word lists sampled randomly from the Swadesh 200-word list. All these provide mathematical support for applying lexicostatistics in historical and comparative linguistics. PMID:28018261

Determination of quality parameters from statistical analysis of routine TLD dosimetry data.

PubMed

German, U; Weinstein, M; Pelled, O

2006-01-01

Following the as low as reasonably achievable (ALARA) practice, there is a need to measure very low doses, of the same order of magnitude as the natural background, and the limits of detection of the dosimetry systems. The different contributions of the background signals to the total zero dose reading of thermoluminescence dosemeter (TLD) cards were analysed by using the common basic definitions of statistical indicators: the critical level (L(C)), the detection limit (L(D)) and the determination limit (L(Q)). These key statistical parameters for the system operated at NRC-Negev were quantified, based on the history of readings of the calibration cards in use. The electronic noise seems to play a minor role, but the reading of the Teflon coating (without the presence of a TLD crystal) gave a significant contribution.

An Overview of Interrater Agreement on Likert Scales for Researchers and Practitioners

PubMed Central

O'Neill, Thomas A.

2017-01-01

Applications of interrater agreement (IRA) statistics for Likert scales are plentiful in research and practice. IRA may be implicated in job analysis, performance appraisal, panel interviews, and any other approach to gathering systematic observations. Any rating system involving subject-matter experts can also benefit from IRA as a measure of consensus. Further, IRA is fundamental to aggregation in multilevel research, which is becoming increasingly common in order to address nesting. Although, several technical descriptions of a few specific IRA statistics exist, this paper aims to provide a tractable orientation to common IRA indices to support application. The introductory overview is written with the intent of facilitating contrasts among IRA statistics by critically reviewing equations, interpretations, strengths, and weaknesses. Statistics considered include rwg, rwg*, r′wg, rwg(p), average deviation (AD), awg, standard deviation (Swg), and the coefficient of variation (CVwg). Equations support quick calculation and contrasting of different agreement indices. The article also includes a “quick reference” table and three figures in order to help readers identify how IRA statistics differ and how interpretations of IRA will depend strongly on the statistic employed. A brief consideration of recommended practices involving statistical and practical cutoff standards is presented, and conclusions are offered in light of the current literature. PMID:28553257

[Hydrologic variability and sensitivity based on Hurst coefficient and Bartels statistic].

PubMed

Lei, Xu; Xie, Ping; Wu, Zi Yi; Sang, Yan Fang; Zhao, Jiang Yan; Li, Bin Bin

2018-04-01

Due to the global climate change and frequent human activities in recent years, the pure stochastic components of hydrological sequence is mixed with one or several of the variation ingredients, including jump, trend, period and dependency. It is urgently needed to clarify which indices should be used to quantify the degree of their variability. In this study, we defined the hydrological variability based on Hurst coefficient and Bartels statistic, and used Monte Carlo statistical tests to test and analyze their sensitivity to different variants. When the hydrological sequence had jump or trend variation, both Hurst coefficient and Bartels statistic could reflect the variation, with the Hurst coefficient being more sensitive to weak jump or trend variation. When the sequence had period, only the Bartels statistic could detect the mutation of the sequence. When the sequence had a dependency, both the Hurst coefficient and the Bartels statistics could reflect the variation, with the latter could detect weaker dependent variations. For the four variations, both the Hurst variability and Bartels variability increased with the increases of variation range. Thus, they could be used to measure the variation intensity of the hydrological sequence. We analyzed the temperature series of different weather stations in the Lancang River basin. Results showed that the temperature of all stations showed the upward trend or jump, indicating that the entire basin had experienced warming in recent years and the temperature variability in the upper and lower reaches was much higher. This case study showed the practicability of the proposed method.

Developing a social practice‐based typology of British drinking culture in 2009–2011: implications for alcohol policy analysis

PubMed Central

Ally, Abdallah K.; Lovatt, Melanie; Meier, Petra S.; Brennan, Alan

2016-01-01

Abstract Background and aims The concept of national drinking culture is well established in research and policy debate, but rarely features in contemporary alcohol policy analysis. We aim to demonstrate the value of the alternative concept of social practices for quantitatively operationalizing drinking culture. We discuss how a practice perspective addresses limitations in existing analytical approaches to health‐related behaviour before demonstrating its empirical application by constructing a statistical typology of British drinking occasions. Design Cross‐sectional latent class analysis of drinking occasions derived from retrospective 1‐week drinking diaries obtained from quota samples of a market research panel. Occasions are periods of drinking with no more than 2 hours between drinks. Setting Great Britain, 2009–11. Cases A total of 187 878 occasions nested within 60 215 nationally representative adults (aged 18 + years). Measurements Beverage type and quantity per occasion; location, company and gender composition of company; motivation and reason for occasion; day, start‐time and duration of occasion; and age, sex and social grade. Findings Eight occasion types are derived based primarily on parsimony considerations rather than model fit statistics. These are mixed location heavy drinking (10.4% of occasions), heavy drinking at home with a partner (9.4%), going out with friends (11.1%), get‐together at someone's house (14.4%), going out for a meal (8.6%), drinking at home alone (13.6%), light drinking at home with family (12.8%) and light drinking at home with a partner (19.6%). Conclusions An empirical model of drinking culture, comprising a typology of drinking practices, reveals the dominance of moderate drinking practices in Great Britain. The model demonstrates the potential for a practice perspective to be used in evaluation of how and why drinking cultures change in response to public health interventions. PMID:27095617

Paternal perception of infant sleep risks and safety.

PubMed

Hirsch, Heather M; Mullins, Samantha H; Miller, Beverly K; Aitken, Mary E

2018-04-10

Sudden Unexpected Infant Death (SUID) results in 3400 sleep-related deaths yearly in the United States, yet caregivers' compliance with safe sleep recommendations remains less than optimal. Paternal caregiver's attitudes toward infant safe sleep messages are largely unaddressed, despite established differences between female and male caregiver perceptions. This study aimed to explore the determinants of safe sleep practices among male caregivers. Focus groups were conducted in Arkansas with male caregivers of infants ages 2-12 months to discuss infant sleep routines, parental roles, sources for safe sleep information, and messaging suggestions for safe sleep promotion. The Health Belief Model of behavior change framed a moderator guide. Transcript-based analysis was used, and data were managed using HyperRESEARCH (version 2.8.3). The transcribed data were coded to identify significant themes. Ten focus groups were conducted with 46 participants. Inconsistent adherence to safe sleep practices was reported. Participants were more likely to describe safe location (57% of participants) and supine position behaviors (42%) than an uncluttered bed environment (26%). Caregivers acknowledged the importance of recommended safe sleep behavior, but admitted to unsafe practices, such as co-sleeping and unsafe daytime sleep. Lack of perceived risk, comfort, and/or resources, and disagreement among family members about safety practices were identified as barriers. Participants voiced concerns that current advertising portrays males as incompetent caregivers. Suggestions included portraying positive images of fathers and male caregivers acting to promote safety and the incorporation of statistics about the hazards of unsafe sleep to better engage fathers. Potential distribution venues included sporting events, home improvement and/or automotive stores, and social media from trusted sites (e.g. hospitals or medical professionals). Male caregivers demonstrate some knowledge base about infant sleep safety, but are not fully practicing all aspects of safe sleep. Targeted messaging towards male caregivers that includes factual information and statistics along with representing males in a positive light is desired.

A statistical approach to selecting and confirming validation targets in -omics experiments

PubMed Central

2012-01-01

Background Genomic technologies are, by their very nature, designed for hypothesis generation. In some cases, the hypotheses that are generated require that genome scientists confirm findings about specific genes or proteins. But one major advantage of high-throughput technology is that global genetic, genomic, transcriptomic, and proteomic behaviors can be observed. Manual confirmation of every statistically significant genomic result is prohibitively expensive. This has led researchers in genomics to adopt the strategy of confirming only a handful of the most statistically significant results, a small subset chosen for biological interest, or a small random subset. But there is no standard approach for selecting and quantitatively evaluating validation targets. Results Here we present a new statistical method and approach for statistically validating lists of significant results based on confirming only a small random sample. We apply our statistical method to show that the usual practice of confirming only the most statistically significant results does not statistically validate result lists. We analyze an extensively validated RNA-sequencing experiment to show that confirming a random subset can statistically validate entire lists of significant results. Finally, we analyze multiple publicly available microarray experiments to show that statistically validating random samples can both (i) provide evidence to confirm long gene lists and (ii) save thousands of dollars and hundreds of hours of labor over manual validation of each significant result. Conclusions For high-throughput -omics studies, statistical validation is a cost-effective and statistically valid approach to confirming lists of significant results. PMID:22738145

Reporting of Positive Results in Randomized Controlled Trials of Mindfulness-Based Mental Health Interventions.

PubMed

Coronado-Montoya, Stephanie; Levis, Alexander W; Kwakkenbos, Linda; Steele, Russell J; Turner, Erick H; Thombs, Brett D

2016-01-01

A large proportion of mindfulness-based therapy trials report statistically significant results, even in the context of very low statistical power. The objective of the present study was to characterize the reporting of "positive" results in randomized controlled trials of mindfulness-based therapy. We also assessed mindfulness-based therapy trial registrations for indications of possible reporting bias and reviewed recent systematic reviews and meta-analyses to determine whether reporting biases were identified. CINAHL, Cochrane CENTRAL, EMBASE, ISI, MEDLINE, PsycInfo, and SCOPUS databases were searched for randomized controlled trials of mindfulness-based therapy. The number of positive trials was described and compared to the number that might be expected if mindfulness-based therapy were similarly effective compared to individual therapy for depression. Trial registries were searched for mindfulness-based therapy registrations. CINAHL, Cochrane CENTRAL, EMBASE, ISI, MEDLINE, PsycInfo, and SCOPUS were also searched for mindfulness-based therapy systematic reviews and meta-analyses. 108 (87%) of 124 published trials reported ≥1 positive outcome in the abstract, and 109 (88%) concluded that mindfulness-based therapy was effective, 1.6 times greater than the expected number of positive trials based on effect size d = 0.55 (expected number positive trials = 65.7). Of 21 trial registrations, 13 (62%) remained unpublished 30 months post-trial completion. No trial registrations adequately specified a single primary outcome measure with time of assessment. None of 36 systematic reviews and meta-analyses concluded that effect estimates were overestimated due to reporting biases. The proportion of mindfulness-based therapy trials with statistically significant results may overstate what would occur in practice.

Ayurpharmacoepidemiology Perspective: Health Literacy (Knowledge and Practice) Among Older Diabetes Patients Visiting Ayurveda Teaching Hospitals in India.

PubMed

Debnath, Parikshit; Natasha, Khurshid; Ali, Liaquat; Bhaduri, Tapas; Roy, Tushar Kanti; Bera, Sayantan; Mukherjee, Debdeep; Debnath, Swati

2016-04-12

Older Indian diabetics lack proper health literacy making them vulnerable to complications. Assessment of health literacy was done by hospital-based cross-sectional study. Face-to-face interview was conducted by pretested structured questionnaires. Diabetes patients aged ≥60 years consisted of 56.22% males and 43.78% females; in addition, 34.2% respondents were without formal schooling. Diabetes was known to 63.56% respondents. Total knowledge and practice score of the respondents was good (18.9% and 35.1%), average (30.7% and 46.9%), and poor (50.4% and 18%), respectively. Knowledge and practice score was strongly associated (P< .01) with religion, educational status, and diabetes duration with positive relationship (R 2 = 0.247,P< .01) between knowledge and practice score. The study highlights lack of health literacy among older diabetics undergoing ayurveda management. Baseline statistics will pave the way toward ayurpharmacoepidemiology. © The Author(s) 2016.

[Clinical outcomes research of use of Shenfu injection based on hospital information system].

PubMed

Yang, Jing; Zhao, Ruo-Qi; Xie, Yan-Ming; Yang, Hu; Li, Lin; Zhuang, Yan

2012-09-01

To know how Shenfu injection is used in clinical practice and to provide a reference for guiding clinical use of Shenfu injection. Extract Shenfu injection's post-marketing re-evaluation data from the hospital information system (HIS) of 20 national grade III-A General Hospitals, use basic statistical analysis methods to analyze Shenfu injection's indications, usage and dosage, treatment course etc. in clinical practice. In patients using Shenfu injection, the average age was 62. 15, and patients mainly concentrated in cardiovascular medicine. In clinical practice, Shenfu injection was used mainly for treatment of coronary heart disease (diagnosed as chest obstruction in traditional Chinese medicine). The treatment course mainly ranged from 3 to 7 days, and the dosage was within the limits prescribed by the instruction. Shenfu injection was mainly used for elderly patients, and has been used according to instruction in practice almostly.

Effective control of complex turbulent dynamical systems through statistical functionals.

PubMed

Majda, Andrew J; Qi, Di

2017-05-30

Turbulent dynamical systems characterized by both a high-dimensional phase space and a large number of instabilities are ubiquitous among complex systems in science and engineering, including climate, material, and neural science. Control of these complex systems is a grand challenge, for example, in mitigating the effects of climate change or safe design of technology with fully developed shear turbulence. Control of flows in the transition to turbulence, where there is a small dimension of instabilities about a basic mean state, is an important and successful discipline. In complex turbulent dynamical systems, it is impossible to track and control the large dimension of instabilities, which strongly interact and exchange energy, and new control strategies are needed. The goal of this paper is to propose an effective statistical control strategy for complex turbulent dynamical systems based on a recent statistical energy principle and statistical linear response theory. We illustrate the potential practical efficiency and verify this effective statistical control strategy on the 40D Lorenz 1996 model in forcing regimes with various types of fully turbulent dynamics with nearly one-half of the phase space unstable.

The epistemology of mathematical and statistical modeling: a quiet methodological revolution.

PubMed

Rodgers, Joseph Lee

2010-01-01

A quiet methodological revolution, a modeling revolution, has occurred over the past several decades, almost without discussion. In contrast, the 20th century ended with contentious argument over the utility of null hypothesis significance testing (NHST). The NHST controversy may have been at least partially irrelevant, because in certain ways the modeling revolution obviated the NHST argument. I begin with a history of NHST and modeling and their relation to one another. Next, I define and illustrate principles involved in developing and evaluating mathematical models. Following, I discuss the difference between using statistical procedures within a rule-based framework and building mathematical models from a scientific epistemology. Only the former is treated carefully in most psychology graduate training. The pedagogical implications of this imbalance and the revised pedagogy required to account for the modeling revolution are described. To conclude, I discuss how attention to modeling implies shifting statistical practice in certain progressive ways. The epistemological basis of statistics has moved away from being a set of procedures, applied mechanistically, and moved toward building and evaluating statistical and scientific models. Copyrigiht 2009 APA, all rights reserved.

Variations in achievement of evidence-based, high-impact quality indicators in general practice: An observational study

PubMed Central

West, Robert; Rushforth, Bruno; Stokes, Tim; Glidewell, Liz; Carder, Paul; Faulkner, Simon; Foy, Robbie

2017-01-01

Background There are widely recognised variations in the delivery and outcomes of healthcare but an incomplete understanding of their causes. There is a growing interest in using routinely collected ‘big data’ in the evaluation of healthcare. We developed a set of evidence-based ‘high impact’ quality indicators (QIs) for primary care and examined variations in achievement of these indicators using routinely collected data in the United Kingdom (UK). Methods Cross-sectional analysis of routinely collected, electronic primary care data from a sample of general practices in West Yorkshire, UK (n = 89). The QIs covered aspects of care (including processes and intermediate clinical outcomes) in relation to diabetes, hypertension, atrial fibrillation, myocardial infarction, chronic kidney disease (CKD) and ‘risky’ prescribing combinations. Regression models explored the impact of practice and patient characteristics. Clustering within practice was accounted for by including a random intercept for practice. Results Median practice achievement of the QIs ranged from 43.2% (diabetes control) to 72.2% (blood pressure control in CKD). Considerable between-practice variation existed for all indicators: the difference between the highest and lowest performing practices was 26.3 percentage points for risky prescribing and 100 percentage points for anticoagulation in atrial fibrillation. Odds ratios associated with the random effects for practices emphasised this; there was a greater than ten-fold difference in the likelihood of achieving the hypertension indicator between the lowest and highest performing practices. Patient characteristics, in particular age, gender and comorbidity, were consistently but modestly associated with indicator achievement. Statistically significant practice characteristics were identified less frequently in adjusted models. Conclusions Despite various policy and improvement initiatives, there are enduring inappropriate variations in the delivery of evidence-based care. Much of this variation is not explained by routinely collected patient or practice variables, and is likely to be attributable to differences in clinical and organisational behaviour. PMID:28704407

Environmental Health Practice: Statistically Based Performance Measurement

PubMed Central

Enander, Richard T.; Gagnon, Ronald N.; Hanumara, R. Choudary; Park, Eugene; Armstrong, Thomas; Gute, David M.

2007-01-01

Objectives. State environmental and health protection agencies have traditionally relied on a facility-by-facility inspection-enforcement paradigm to achieve compliance with government regulations. We evaluated the effectiveness of a new approach that uses a self-certification random sampling design. Methods. Comprehensive environmental and occupational health data from a 3-year statewide industry self-certification initiative were collected from representative automotive refinishing facilities located in Rhode Island. Statistical comparisons between baseline and postintervention data facilitated a quantitative evaluation of statewide performance. Results. The analysis of field data collected from 82 randomly selected automotive refinishing facilities showed statistically significant improvements (P<.05, Fisher exact test) in 4 major performance categories: occupational health and safety, air pollution control, hazardous waste management, and wastewater discharge. Statistical significance was also shown when a modified Bonferroni adjustment for multiple comparisons was performed. Conclusions. Our findings suggest that the new self-certification approach to environmental and worker protection is effective and can be used as an adjunct to further enhance state and federal enforcement programs. PMID:17267709

Application of a faith-based integration tool to assess mental and physical health interventions

PubMed Central

Saunders, Donna M.; Leak, Jean; Carver, Monique E.; Smith, Selina A.

2017-01-01

Background To build on current research involving faith-based interventions (FBIs) for addressing mental and physical health, this study a) reviewed the extent to which relevant publications integrate faith concepts with health and b) initiated analysis of the degree of FBI integration with intervention outcomes. Methods Derived from a systematic search of articles published between 2007 and 2017, 36 studies were assessed with a Faith-Based Integration Assessment Tool (FIAT) to quantify faith-health integration. Basic statistical procedures were employed to determine the association of faith-based integration with intervention outcomes. Results The assessed studies possessed (on average) moderate, inconsistent integration because of poor use of faith measures, and moderate, inconsistent use of faith practices. Analysis procedures for determining the effect of FBI integration on intervention outcomes were inadequate for formulating practical conclusions. Conclusions Regardless of integration, interventions were associated with beneficial outcomes. To determine the link between FBI integration and intervention outcomes, additional analyses are needed. PMID:29354795

Team-based learning for midwifery education.

PubMed

Moore-Davis, Tonia L; Schorn, Mavis N; Collins, Michelle R; Phillippi, Julia; Holley, Sharon

2015-01-01

Many US health care and education stakeholder groups, recognizing the need to prepare learners for collaborative practice in complex care environments, have called for innovative approaches in health care education. Team-based learning is an educational method that relies on in-depth student preparation prior to class, individual and team knowledge assessment, and use of small-group learning to apply knowledge to complex scenarios. Although team-based learning has been studied as an approach to health care education, its application to midwifery education is not well described. A master's-level, nurse-midwifery, didactic antepartum course was revised to a team-based learning format. Student grades, course evaluations, and aggregate American Midwifery Certification Board examination pass rates for 3 student cohorts participating in the team-based course were compared with 3 student cohorts receiving traditional, lecture-based instruction. Students had mixed responses to the team-based learning format. Student evaluations improved when faculty added recorded lectures as part of student preclass preparation. Statistical comparisons were limited by variations across cohorts; however, student grades and certification examination pass rates did not change substantially after the course revision. Although initial course revision was time-consuming for faculty, subsequent iterations of the course required less effort. Team-based learning provides students with more opportunity to interact during on-site classes and may spur application of knowledge into practice. However, it is difficult to assess the effect of the team-based learning approach with current measures. Further research is needed to determine the effects of team-based learning on communication and collaboration skills, as well as long-term performance in clinical practice. This article is part of a special series of articles that address midwifery innovations in clinical practice, education, interprofessional collaboration, health policy, and global health. © 2015 by the American College of Nurse-Midwives.

Statistical approaches in published ophthalmic clinical science papers: a comparison to statistical practice two decades ago.

PubMed

Zhang, Harrison G; Ying, Gui-Shuang

2018-02-09

The aim of this study is to evaluate the current practice of statistical analysis of eye data in clinical science papers published in British Journal of Ophthalmology ( BJO ) and to determine whether the practice of statistical analysis has improved in the past two decades. All clinical science papers (n=125) published in BJO in January-June 2017 were reviewed for their statistical analysis approaches for analysing primary ocular measure. We compared our findings to the results from a previous paper that reviewed BJO papers in 1995. Of 112 papers eligible for analysis, half of the studies analysed the data at an individual level because of the nature of observation, 16 (14%) studies analysed data from one eye only, 36 (32%) studies analysed data from both eyes at ocular level, one study (1%) analysed the overall summary of ocular finding per individual and three (3%) studies used the paired comparison. Among studies with data available from both eyes, 50 (89%) of 56 papers in 2017 did not analyse data from both eyes or ignored the intereye correlation, as compared with in 60 (90%) of 67 papers in 1995 (P=0.96). Among studies that analysed data from both eyes at an ocular level, 33 (92%) of 36 studies completely ignored the intereye correlation in 2017, as compared with in 16 (89%) of 18 studies in 1995 (P=0.40). A majority of studies did not analyse the data properly when data from both eyes were available. The practice of statistical analysis did not improve in the past two decades. Collaborative efforts should be made in the vision research community to improve the practice of statistical analysis for ocular data. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Applying the multivariate time-rescaling theorem to neural population models

PubMed Central

Gerhard, Felipe; Haslinger, Robert; Pipa, Gordon

2011-01-01

Statistical models of neural activity are integral to modern neuroscience. Recently, interest has grown in modeling the spiking activity of populations of simultaneously recorded neurons to study the effects of correlations and functional connectivity on neural information processing. However any statistical model must be validated by an appropriate goodness-of-fit test. Kolmogorov-Smirnov tests based upon the time-rescaling theorem have proven to be useful for evaluating point-process-based statistical models of single-neuron spike trains. Here we discuss the extension of the time-rescaling theorem to the multivariate (neural population) case. We show that even in the presence of strong correlations between spike trains, models which neglect couplings between neurons can be erroneously passed by the univariate time-rescaling test. We present the multivariate version of the time-rescaling theorem, and provide a practical step-by-step procedure for applying it towards testing the sufficiency of neural population models. Using several simple analytically tractable models and also more complex simulated and real data sets, we demonstrate that important features of the population activity can only be detected using the multivariate extension of the test. PMID:21395436

Statistical estimation of femur micro-architecture using optimal shape and density predictors.

PubMed

Lekadir, Karim; Hazrati-Marangalou, Javad; Hoogendoorn, Corné; Taylor, Zeike; van Rietbergen, Bert; Frangi, Alejandro F

2015-02-26

The personalization of trabecular micro-architecture has been recently shown to be important in patient-specific biomechanical models of the femur. However, high-resolution in vivo imaging of bone micro-architecture using existing modalities is still infeasible in practice due to the associated acquisition times, costs, and X-ray radiation exposure. In this study, we describe a statistical approach for the prediction of the femur micro-architecture based on the more easily extracted subject-specific bone shape and mineral density information. To this end, a training sample of ex vivo micro-CT images is used to learn the existing statistical relationships within the low and high resolution image data. More specifically, optimal bone shape and mineral density features are selected based on their predictive power and used within a partial least square regression model to estimate the unknown trabecular micro-architecture within the anatomical models of new subjects. The experimental results demonstrate the accuracy of the proposed approach, with average errors of 0.07 for both the degree of anisotropy and tensor norms. Copyright © 2015 Elsevier Ltd. All rights reserved.

Developing an integrated evidence-based medicine curriculum for family medicine residency at the University of Alberta.

PubMed

Allan, G Michael; Korownyk, Christina; Tan, Amy; Hindle, Hugh; Kung, Lina; Manca, Donna

2008-06-01

There is general consensus in the academic community that evidence-based medicine (EBM) teaching is essential. Unfortunately, many postgraduate programs have significant weakness in their EBM programs. The Family Medicine Residency committee at the University of Alberta felt their EBM curriculum would benefit from critical review and revision. An EBM Curriculum Committee was created to evaluate previous components and develop new strategies as needed. Input from stakeholders including faculty and residents was sought, and evidence regarding the teaching and practical application of EBM was gathered. The committee drafted goals and objectives, the primary of which were to assist residents to (1) become competent self-directed, lifelong learners with skills to effectively and efficiently keep up to date, and 2) develop EBM skills to solve problems encountered in daily practice. New curriculum components, each evidence based, were introduced in 2005 and include a family medicine EBM workshop to establish basic EBM knowledge; a Web-based Family Medicine Desktop promoting easier access to evidence-based Internet resources; a brief evidence-based assessment of the research project enhancing integration of EBM into daily practice; and a journal club to support peer learning and growth of rapid appraisal skills. Issues including time use, costs, and change management are discussed. Ongoing evaluation of the curriculum and its components is a principal factor of the design, allowing critical review and adaptation of the curriculum. The first two years of the curriculum have yielded positive feedback from faculty and statistically significant improvement in multiple areas of residents' opinions of the curriculum and comfort with evidence-based practice.

Data-driven inference for the spatial scan statistic.

PubMed

Almeida, Alexandre C L; Duarte, Anderson R; Duczmal, Luiz H; Oliveira, Fernando L P; Takahashi, Ricardo H C

2011-08-02

Kulldorff's spatial scan statistic for aggregated area maps searches for clusters of cases without specifying their size (number of areas) or geographic location in advance. Their statistical significance is tested while adjusting for the multiple testing inherent in such a procedure. However, as is shown in this work, this adjustment is not done in an even manner for all possible cluster sizes. A modification is proposed to the usual inference test of the spatial scan statistic, incorporating additional information about the size of the most likely cluster found. A new interpretation of the results of the spatial scan statistic is done, posing a modified inference question: what is the probability that the null hypothesis is rejected for the original observed cases map with a most likely cluster of size k, taking into account only those most likely clusters of size k found under null hypothesis for comparison? This question is especially important when the p-value computed by the usual inference process is near the alpha significance level, regarding the correctness of the decision based in this inference. A practical procedure is provided to make more accurate inferences about the most likely cluster found by the spatial scan statistic.

[Association between productivity, list size, patient and practice characteristics in general practice].

PubMed

Olsen, Kim Rose; Sørensen, Torben Højmark; Gyrd-Hansen, Dorte

2010-04-19

Due to shortage of general practitioners, it may be necessary to improve productivity. We assess the association between productivity, list size and patient- and practice characteristics. A regression approach is used to perform productivity analysis based on national register data and survey data for 1,758 practices. Practices are divided into four groups according to list size and productivity. Statistical tests are used to assess differences in patient- and practice characteristics. There is a significant, positive correlation between list size and productivity (p < 0.01). Nevertheless, 19% of the practices have a list size below and a productivity above mean sample values. These practices have relatively demanding patients (older, low socioeconomic status, high use of pharmaceuticals) and they are frequently located in areas with limited access to specialized care and have a low use of assisting personnel. 13% of the practices have a list size above and a productivity below mean sample values. These practices have relatively less demanding patients, are located in areas with good access to specialized care, and have a high use of assisting personnel. Lists and practice characteristics have substantial influence on both productivity and list size. Adjusting list size to external factors seems to be an effective tool to increase productivity in general practice.

A Recommended Procedure for Estimating the Cosmic-Ray Spectral Parameter of a Simple Power Law With Applications to Detector Design

NASA Technical Reports Server (NTRS)

Howell, L. W.

2001-01-01

A simple power law model consisting of a single spectral index alpha-1 is believed to be an adequate description of the galactic cosmic-ray (GCR) proton flux at energies below 10(exp 13) eV. Two procedures for estimating alpha-1 the method of moments and maximum likelihood (ML), are developed and their statistical performance compared. It is concluded that the ML procedure attains the most desirable statistical properties and is hence the recommended statistical estimation procedure for estimating alpha-1. The ML procedure is then generalized for application to a set of real cosmic-ray data and thereby makes this approach applicable to existing cosmic-ray data sets. Several other important results, such as the relationship between collecting power and detector energy resolution, as well as inclusion of a non-Gaussian detector response function, are presented. These results have many practical benefits in the design phase of a cosmic-ray detector as they permit instrument developers to make important trade studies in design parameters as a function of one of the science objectives. This is particularly important for space-based detectors where physical parameters, such as dimension and weight, impose rigorous practical limits to the design envelope.

Polish Adaptation of Wrist Evaluation Questionnaires.

PubMed

Czarnecki, Piotr; Wawrzyniak-Bielęda, Anna; Romanowski, Leszek

2015-01-01

Questionnaires evaluating hand and wrist function are a very useful tool allowing for objective and systematic recording of symptoms reported by the patients. Most questionnaires generally accepted in clinical practice are available in English and need to be appropriately adapted in translation and undergo subsequent validation before they can be used in another culture and language. The process of translation of the questionnaires was based on the generally accepted guidelines of the International Quality of Life Assessment Project (IQOLA). First, the questionnaires were translated from English into Polish by two independent translators. Then, a joint version of the translation was prepared collectively and translated back into English. Each stage was followed by a written report. The translated questionnaires were then evaluated by a group of patients. We selected 31 patients with wrist problems and asked them to complete the PRWE, Mayo, Michigan and DASH questionnaires twice at intervals of 3-10 days. The results were submitted for statistical analysis. We found a statistically significant (p<0.05) correlation for the two completions of the questionnaires. A comparison of the PRWE and Mayo questionnaires with the DASH questionnaire also showed a statistically significant correlation (p<0.05). Our results indicate that the cultural adaptation of the translated questionnaires was successful and that the questionnaires may be used in clinical practice.

Informativeness of Diagnostic Marker Values and the Impact of Data Grouping.

PubMed

Ma, Hua; Bandos, Andriy I; Gur, David

2018-01-01

Assessing performance of diagnostic markers is a necessary step for their use in decision making regarding various conditions of interest in diagnostic medicine and other fields. Globally useful markers could, however, have ranges of values that are " diagnostically non-informative" . This paper demonstrates that the presence of marker values from diagnostically non-informative ranges could lead to a loss in statistical efficiency during nonparametric evaluation and shows that grouping non-informative values provides a natural resolution to this problem. These points are theoretically proven and an extensive simulation study is conducted to illustrate the possible benefits of using grouped marker values in a number of practically reasonable scenarios. The results contradict the common conjecture regarding the detrimental effect of grouped marker values during performance assessments. Specifically, contrary to the common assumption that grouped marker values lead to bias, grouping non-informative values does not introduce bias and could substantially reduce sampling variability. The proven concept that grouped marker values could be statistically beneficial without detrimental consequences implies that in practice, tied values do not always require resolution whereas the use of continuous diagnostic results without addressing diagnostically non-informative ranges could be statistically detrimental. Based on these findings, more efficient methods for evaluating diagnostic markers could be developed.

Licorice Production and Manufacturing: All-Sorts of Practical Applications for Statistics

ERIC Educational Resources Information Center

Watson, Jane; Skalicky, Jane; Fitzallen, Noleine; Wright, Suzie

2009-01-01

Among the practical applications of statistics is the collection of data from manufacturing processes. Often collected in the form of a time series, data collected from a series of measurements show the variation in those measurements, such as mass of a product manufactured. Limits are set for quality control and if these are exceeded then a…

Sets, Probability and Statistics: The Mathematics of Life Insurance.

ERIC Educational Resources Information Center

Clifford, Paul C.; And Others

The practical use of such concepts as sets, probability and statistics are considered by many to be vital and necessary to our everyday life. This student manual is intended to familiarize students with these concepts and to provide practice using real life examples. It also attempts to illustrate how the insurance industry uses such mathematic…

Public Policy and Planning for Nurse Education and Practice.

ERIC Educational Resources Information Center

Feldbaum, Eleanor G.; Levitt, Morris J.

This report focuses on nursing educational and practice issues that government officials may have to address in the near future. The report provides statistical information on nurses, compares statistics for white and black nurses, and recommends policies for the future. Data was gathered for the report during a three-year study of 5,175…

Perspectives on clinical trial data transparency and disclosure.

PubMed

Alemayehu, Demissie; Anziano, Richard J; Levenstein, Marcia

2014-09-01

The increased demand for transparency and disclosure of data from clinical trials sponsored by pharmaceutical companies poses considerable challenges and opportunities from a statistical perspective. A central issue is the need to protect patient privacy and adhere to Good Clinical and Statistical Practices, while ensuring access to patient-level data from clinical trials to the wider research community. This paper offers options to navigate this dilemma and balance competing priorities, with emphasis on the role of good clinical and statistical practices as proven safeguards for scientific integrity, the importance of adopting best practices for reporting of data from secondary analyses, and the need for optimal collaboration among stakeholders to facilitate data sharing. Copyright © 2014 Elsevier Inc. All rights reserved.

Practices and opinions on nitrous oxide/oxygen sedation from dentists licensed to perform relative analgesia in Brazil

PubMed Central

2012-01-01

Background Relative analgesia (RA), defined as the use of inhalation sedation with nitrous oxide and oxygen, is one of the most common pharmacological behavior management techniques used to provide sedation and analgesia for dental patients. This study aimed to assess RA licensed Brazilian dentists’ practices and opinions about nitrous oxide/oxygen sedation in the dental setting. Methods A cross sectional national survey was conducted with 281 dentists who were certified to perform RA, using an electronically mailed self-administered questionnaire containing closed questions about their practices and opinions regarding RA. Practice and opinion were individually analyzed by descriptive statistics. Non-parametric tests assessed the relationships between RA practice and independent variables. To test the interplay between practices and opinions, a k-means clusters analysis was used to divide the group for statistical comparisons. Results The response rate was 45.2%. Women made up 64.6% of the respondents, the mean age was 39.1 years (SD = 9.8), and the mean time since graduation in dentistry was 16 years (SD = 9.7). Seventy-seven percent of respondents reported the use of RA in clinical practice, most of them ‘sometimes’ (53.5%), and focusing more on adult patients. Patients with certain physical or mental deficiencies were indications associated with RA practice. ‘Equipment acquisition’ (p < 0.001) and ‘living in Southeast and South regions’ (p < 0.02) were also associated with RA practice. The scores for dentists’ opinions ranged from 15 to 41 points (mean 29.2, SD = 5.6), based on nine items scored from 1 to 5. Two clusters representing more favorable (n = 65) and less favorable (n = 55) opinions were established. Dentists who were women (p = 0.04), practiced RA in dental settings (p < 0.01) or practiced it frequently (p < 0.001), had more favorable opinions about RA. Conclusion Most of the RA licensed Brazilian dentists interviewed currently use RA. Current practice of RA and frequency of use determined the degree of favorable opinion about this inhalation sedation among this group of respondents. PMID:22808942

On the control of brain-computer interfaces by users with cerebral palsy.

PubMed

Daly, Ian; Billinger, Martin; Laparra-Hernández, José; Aloise, Fabio; García, Mariano Lloria; Faller, Josef; Scherer, Reinhold; Müller-Putz, Gernot

2013-09-01

Brain-computer interfaces (BCIs) have been proposed as a potential assistive device for individuals with cerebral palsy (CP) to assist with their communication needs. However, it is unclear how well-suited BCIs are to individuals with CP. Therefore, this study aims to investigate to what extent these users are able to gain control of BCIs. This study is conducted with 14 individuals with CP attempting to control two standard online BCIs (1) based upon sensorimotor rhythm modulations, and (2) based upon steady state visual evoked potentials. Of the 14 users, 8 are able to use one or other of the BCIs, online, with a statistically significant level of accuracy, without prior training. Classification results are driven by neurophysiological activity and not seen to correlate with occurrences of artifacts. However, many of these users' accuracies, while statistically significant, would require either more training or more advanced methods before practical BCI control would be possible. The results indicate that BCIs may be controlled by individuals with CP but that many issues need to be overcome before practical application use may be achieved. This is the first study to assess the ability of a large group of different individuals with CP to gain control of an online BCI system. The results indicate that six users could control a sensorimotor rhythm BCI and three a steady state visual evoked potential BCI at statistically significant levels of accuracy (SMR accuracies; mean ± STD, 0.821 ± 0.116, SSVEP accuracies; 0.422 ± 0.069). Copyright © 2013 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Development and validation of risk prediction equations to estimate future risk of blindness and lower limb amputation in patients with diabetes: cohort study

PubMed Central

Coupland, Carol

2015-01-01

Study question Is it possible to develop and externally validate risk prediction equations to estimate the 10 year risk of blindness and lower limb amputation in patients with diabetes aged 25-84 years? Methods This was a prospective cohort study using routinely collected data from general practices in England contributing to the QResearch and Clinical Practice Research Datalink (CPRD) databases during the study period 1998-2014. The equations were developed using 763 QResearch practices (n=454 575 patients with diabetes) and validated in 254 different QResearch practices (n=142 419) and 357 CPRD practices (n=206 050). Cox proportional hazards models were used to derive separate risk equations for blindness and amputation in men and women that could be evaluated at 10 years. Measures of calibration and discrimination were calculated in the two validation cohorts. Study answer and limitations Risk prediction equations to quantify absolute risk of blindness and amputation in men and women with diabetes have been developed and externally validated. In the QResearch derivation cohort, 4822 new cases of lower limb amputation and 8063 new cases of blindness occurred during follow-up. The risk equations were well calibrated in both validation cohorts. Discrimination was good in men in the external CPRD cohort for amputation (D statistic 1.69, Harrell’s C statistic 0.77) and blindness (D statistic 1.40, Harrell’s C statistic 0.73), with similar results in women and in the QResearch validation cohort. The algorithms are based on variables that patients are likely to know or that are routinely recorded in general practice computer systems. They can be used to identify patients at high risk for prevention or further assessment. Limitations include lack of formally adjudicated outcomes, information bias, and missing data. What this study adds Patients with type 1 or type 2 diabetes are at increased risk of blindness and amputation but generally do not have accurate assessments of the magnitude of their individual risks. The new algorithms calculate the absolute risk of developing these complications over a 10 year period in patients with diabetes, taking account of their individual risk factors. Funding, competing interests, data sharing JH-C is co-director of QResearch, a not for profit organisation which is a joint partnership between the University of Nottingham and Egton Medical Information Systems, and is also a paid director of ClinRisk Ltd. CC is a paid consultant statistician for ClinRisk Ltd. PMID:26560308

Development and validation of risk prediction equations to estimate future risk of blindness and lower limb amputation in patients with diabetes: cohort study.

PubMed

Hippisley-Cox, Julia; Coupland, Carol

2015-11-11

Is it possible to develop and externally validate risk prediction equations to estimate the 10 year risk of blindness and lower limb amputation in patients with diabetes aged 25-84 years? This was a prospective cohort study using routinely collected data from general practices in England contributing to the QResearch and Clinical Practice Research Datalink (CPRD) databases during the study period 1998-2014. The equations were developed using 763 QResearch practices (n=454,575 patients with diabetes) and validated in 254 different QResearch practices (n=142,419) and 357 CPRD practices (n=206,050). Cox proportional hazards models were used to derive separate risk equations for blindness and amputation in men and women that could be evaluated at 10 years. Measures of calibration and discrimination were calculated in the two validation cohorts. Risk prediction equations to quantify absolute risk of blindness and amputation in men and women with diabetes have been developed and externally validated. In the QResearch derivation cohort, 4822 new cases of lower limb amputation and 8063 new cases of blindness occurred during follow-up. The risk equations were well calibrated in both validation cohorts. Discrimination was good in men in the external CPRD cohort for amputation (D statistic 1.69, Harrell's C statistic 0.77) and blindness (D statistic 1.40, Harrell's C statistic 0.73), with similar results in women and in the QResearch validation cohort. The algorithms are based on variables that patients are likely to know or that are routinely recorded in general practice computer systems. They can be used to identify patients at high risk for prevention or further assessment. Limitations include lack of formally adjudicated outcomes, information bias, and missing data. Patients with type 1 or type 2 diabetes are at increased risk of blindness and amputation but generally do not have accurate assessments of the magnitude of their individual risks. The new algorithms calculate the absolute risk of developing these complications over a 10 year period in patients with diabetes, taking account of their individual risk factors. JH-C is co-director of QResearch, a not for profit organisation which is a joint partnership between the University of Nottingham and Egton Medical Information Systems, and is also a paid director of ClinRisk Ltd. CC is a paid consultant statistician for ClinRisk Ltd. © Hippisley-Cox et al 2015.

Microstructure and Texture Evolution During Hot Pack Rolling of Nickel-Base Superalloys to Thin Sheet and Foil (Preprint)

DTIC Science & Technology

2011-03-01

quenching . The y’ solvus temperature (Ty’) was found to be -1150°C for alloy 5A and -1220°C for alloy 5C based on isothermal heat treatments performed in...an inert argon atmosphere followed by water quenching . Similar to conventional practices for superalloys, supersolvus hot working (at 1225°C) was...approximately five times larger than that shown in Figure 8 to provide a statistically relevant estimate, only 35 pet. of the grains in this sample were within

Design and Construction for Community Health Service Precision Fund Appropriation System Based on Performance Management.

PubMed

Gao, Xing; He, Yao; Hu, Hongpu

2017-01-01

Allowing for the differences in economy development, informatization degree and characteristic of population served and so on among different community health service organizations, community health service precision fund appropriation system based on performance management is designed, which can provide support for the government to appropriate financial funds scientifically and rationally for primary care. The system has the characteristic of flexibility and practicability, in which there are five subsystems including data acquisition, parameter setting, fund appropriation, statistical analysis system and user management.

The other half of the story: effect size analysis in quantitative research.

PubMed

Maher, Jessica Middlemis; Markey, Jonathan C; Ebert-May, Diane

2013-01-01

Statistical significance testing is the cornerstone of quantitative research, but studies that fail to report measures of effect size are potentially missing a robust part of the analysis. We provide a rationale for why effect size measures should be included in quantitative discipline-based education research. Examples from both biological and educational research demonstrate the utility of effect size for evaluating practical significance. We also provide details about some effect size indices that are paired with common statistical significance tests used in educational research and offer general suggestions for interpreting effect size measures. Finally, we discuss some inherent limitations of effect size measures and provide further recommendations about reporting confidence intervals.

Obstetric analgesia for vaginal birth in contemporary obstetrics: a survey of the practice of obstetricians in Nigeria

PubMed Central

2014-01-01

Background Contemporary obstetrics in sub-Saharan Africa is yet to meet the analgesic needs of most women during child birth for a satisfactory birth experience and expectedly, obstetricians have a major role to play in achieving this. Methods This was a questionnaire-based, cross-sectional study of 151 obstetricians and gynecologists that attended the 46th Annual General Meeting and Scientific Conference of the Society of Gynaecology and Obstetrics of Nigeria (SOGON) held in Abakaliki, southeast Nigeria in November, 2012. SOGON is the umbrella body that oversees the obstetric and gynecological practice in Nigeria. Data was collated and analyzed with Epi-info statistical software, and conclusions were drawn by means of simple percentages and inferential statistics using Odds Ratio, with P-value < 0.05 at 95% Confidence Interval (CI) taken to be statistically significant. Results Of the 151 participants, males predominated; 110 (72.9%) practiced in government-owned tertiary hospitals in urban locations. Only 74 (49%) offered obstetric analgesia. Among users, only 20 (13.3%) offered obstetric analgesia routinely to parturients, 44 (29.1%) sometimes and 10 (6.6%) on patients’ requests. The commonest analgesia was opioids (41.1%). Among non-users, the commonest reasons adduced were fear of respiratory distress (31.1%), cost (24.7%) and late presentation in labour (15.6%). Conclusion The routine prescription and utilization of obstetric analgesia by obstetricians in Nigeria is still low. Obstetricians are encouraged to step up its use to make childbirth a more fulfilling experience for parturients. PMID:24725280

A study of the continuum of integration of mathematics content with science concepts at the middle school level in West Virginia

NASA Astrophysics Data System (ADS)

Meisel, Edna Marie

The purpose of this study was to examine the practices and perceptions of regular education seventh grade middle school mathematics teachers in West Virginia concerning the integration of mathematics objectives with science concepts. In addition, this study also emphasized the use of integrated curriculum continuum models to study mathematics teachers' practices and perceptions for teaching mathematics objectives in connection with science concepts. It was argued that the integrated curriculum continuum model can be used to help educators begin to form a common definition of integrated curriculum. The population was described as the regular education seventh grade middle school mathematics teachers in West Virginia. The entire population (N = 173) was used as the participants in this study. Data was collected using an integrated curriculum practices and perceptions survey constructed by the researcher. This was a descriptive study that incorporated the Chi Square statistic to show trends in teacher practices and perceptions. Also, an ex post facto design, that incorporated the Mann-Whitney U statistic, was used to compare practices and perceptions between teachers grouped according to factors that influence teaching practices and perceptions. These factors included teaching certificate endorsement and teacher professional preparation. Results showed that the regular education seventh grade middle school mathematics teachers of West Virginia are teaching mathematics objectives mainly at a discipline-based level with no formal attempt for integration with science concepts. However, these teachers perceived that many of the mathematics objectives should be taught at varying levels of integration with science concepts. It was also shown that teachers who experienced professional preparation courses that emphasized integrated curriculum courses did teach many of the mathematics objectives at higher levels of integration with science than those teachers who did not experience integrated curriculum courses.

Teaching efficacy of nurses in clinical practice education: A cross-sectional study.

PubMed

Kim, Eun-Kyeung; Shin, Sujin

2017-07-01

Clinical nurses play a vital role in clinical practice education; thus, it is necessary to help clinical nurses have teaching efficacy through the development and application of systematic education programs. To identify nurses' teaching efficacy for clinical education and analyze the influencing factors of teaching efficacy. The study used a cross-sectional design. We used a convenience sample of 263 nurses from two hospitals. Teaching efficacy, general characteristics, and perception of clinical practice education were collected via self-reported questionnaires. Teaching efficacy was measured using Hwang's (2006) questionnaire, while perception of clinical practice education was measured using the Clinical Nurse Teacher Survey developed by Nishioka et al. (2014). Participants completed the questionnaire directly. The collected data were then analyzed using descriptive statistics, t-tests, ANOVAs, and multiple regression analysis with PASW Statistics 18.0. The mean total score of teaching efficacy was 72.5 (range 21-105). The leadership for students subscale had the highest score (3.56±0.59). The factors influencing teaching efficacy were length of clinical career (β=0.26, p<0.001) and perceptions of work satisfaction (β=0.20, p=.005), clinical supervisory relationship (β=0.18, p=.010), and nursing at the hospital ward (β=0.13, p=.029). Altogether, these variables explained 28% of the variance in teaching efficacy in nurses. Based on these results, nursing educators might need to develop greater confidence in their knowledge and enhance control of their teaching strategies. Nursing schools and hospitals might need to provide greater support and educational opportunities to nurse clinical practice instructors. Furthermore, constructing a system of cooperation between these colleges and educational hospitals, developing programs to enhance teaching efficacy, and identifying the clinical instructor's role are all necessary to promote clinical practice education. Copyright © 2017. Published by Elsevier Ltd.

Variance reduction for Fokker–Planck based particle Monte Carlo schemes

DOE Office of Scientific and Technical Information (OSTI.GOV)

Gorji, M. Hossein, E-mail: gorjih@ifd.mavt.ethz.ch; Andric, Nemanja; Jenny, Patrick

Recently, Fokker–Planck based particle Monte Carlo schemes have been proposed and evaluated for simulations of rarefied gas flows [1–3]. In this paper, the variance reduction for particle Monte Carlo simulations based on the Fokker–Planck model is considered. First, deviational based schemes were derived and reviewed, and it is shown that these deviational methods are not appropriate for practical Fokker–Planck based rarefied gas flow simulations. This is due to the fact that the deviational schemes considered in this study lead either to instabilities in the case of two-weight methods or to large statistical errors if the direct sampling method is applied.more » Motivated by this conclusion, we developed a novel scheme based on correlated stochastic processes. The main idea here is to synthesize an additional stochastic process with a known solution, which is simultaneously solved together with the main one. By correlating the two processes, the statistical errors can dramatically be reduced; especially for low Mach numbers. To assess the methods, homogeneous relaxation, planar Couette and lid-driven cavity flows were considered. For these test cases, it could be demonstrated that variance reduction based on parallel processes is very robust and effective.« less

Childhood Obesity and Nutrition Issues in the United States: An Update on School-based Policies and Practices. Education Policy Brief, Volume 10, Number 1, Spring 2012

ERIC Educational Resources Information Center

Spradlin, Terry; Gard, Greta; Huang, Vivian; Kopp, Beth; Malik, Alanna

2012-01-01

This Education Policy Brief examines the latest research and statistics regarding childhood obesity. In addition to providing an overview of current trends and effects of childhood obesity, this brief considers the reasons for the increase in obesity rates among children, as well as the latest federal and state initiatives created to combat…

The place of knowledge and evidence in the context of Australian general practice nursing.

PubMed

Mills, Jane; Field, John; Cant, Robyn

2009-01-01

The purpose of the study was to ascertain the place of knowledge and evidence in the context of Australian general practice nursing. General practice nursing is a rapidly developing area of specialized nursing in Australia. The provision of primary care services in Australia rests largely with medical general practitioners who employ nurses in a small business model. A statistical research design was used that included a validated instrument: the developing evidence-based practice questionnaire (Gerrish et al. 2007). A total of 1,800 Victorian practice nurses were surveyed with a return of 590 completed questionnaires, equaling a response rate of 33%. Lack of time to access knowledge for practice was a barrier for participants in this study. In-service education and training opportunities were ranked as the number one source of knowledge for general practice nurses. Experiential learning and interactions with clients, peers, medical practitioners, and specialist nurses were also considered very important sources of knowledge. Research journals were ranked much lower than experiential learning and personal interactions. Participants assessed their own skills at sourcing and translating evidence into practice knowledge as low. Younger general practice nurses were more likely than older nurses to assess themselves as competent at using the library and Internet to locate evidence. The predominantly oral culture of nursing needs to be identified and incorporated into methods for disseminating evidence from research findings in order to increase the knowledge base of Australian general practice nurses. Findings from this study will be significant for policy makers and funders of Australian nursing in general practice. The establishment of a career structure for general practice nurses that includes salaried positions for clinical nurse specialists would assist in the translation of evidence into knowledge for utilization at the point of care.

The probability of probability and research truths.

PubMed

Fatovich, Daniel M; Phillips, Michael

2017-04-01

The foundation of much medical research rests on the statistical significance of the P-value, but we have fallen prey to the seductive certainty of significance. Other scientific disciplines work to a different standard. This may partly explain why medical reversal is an increasing phenomenon, whereby new studies (based on the 0.05 standard) overturn previous significant findings. This has generated a crisis in the rigour of evidence-based medicine, as many people erroneously believe that a P < 0.05 means the treatment effect is clinically important. However, statistics are not facts about the world. Nor should they be based on an arbitrary threshold that arose for historical reasons. This arbitrary threshold encourages an unthinking automatic response that contributes to industry's influence on medical research. Examples from emergency medicine practice illustrate these themes. Study replication needs to be valued as much as discovery. Careful and thoughtful unbiased thinking about the results we do have is undervalued. © 2017 Australasian College for Emergency Medicine and Australasian Society for Emergency Medicine.

"Describing our whole experience": the statistical philosophies of W. F. R. Weldon and Karl Pearson.

PubMed

Pence, Charles H

2011-12-01

There are two motivations commonly ascribed to historical actors for taking up statistics: to reduce complicated data to a mean value (e.g., Quetelet), and to take account of diversity (e.g., Galton). Different motivations will, it is assumed, lead to different methodological decisions in the practice of the statistical sciences. Karl Pearson and W. F. R. Weldon are generally seen as following directly in Galton's footsteps. I argue for two related theses in light of this standard interpretation, based on a reading of several sources in which Weldon, independently of Pearson, reflects on his own motivations. First, while Pearson does approach statistics from this "Galtonian" perspective, he is, consistent with his positivist philosophy of science, utilizing statistics to simplify the highly variable data of biology. Weldon, on the other hand, is brought to statistics by a rich empiricism and a desire to preserve the diversity of biological data. Secondly, we have here a counterexample to the claim that divergence in motivation will lead to a corresponding separation in methodology. Pearson and Weldon, despite embracing biometry for different reasons, settled on precisely the same set of statistical tools for the investigation of evolution. Copyright © 2011 Elsevier Ltd. All rights reserved.

Operational methods of thermodynamics. Volume 1 - Temperature measurement

NASA Astrophysics Data System (ADS)

Eder, F. X.

The principles of thermometry are examined, taking into account the concept of temperature, the Kelvin scale, the statistical theory of heat, negative absolute temperatures, the thermodynamic temperature scale, the thermodynamic temperature scale below 1 K, noise thermometry, temperature scales based on black-body radiation, acoustical thermometry, and the International Practical Temperature Scale 1968. Aspects of practical temperature measurement are discussed, giving attention to thermometers based on the expansion of a gas or a liquid, instruments utilizing the relative thermal expansion of two different metals, devices measuring the vapor pressure of a liquid, thermocouples, resistance thermometers, radiation pyrometers of various types, instruments utilizing the temperature dependence of a number of material characteristics, devices for temperature control, thermometer calibration, and aspects of thermometer installation and inertia. A description is presented of the approaches employed for the measurement of low temperatures.

Just-in-Time Evidence-Based E-mail “Reminders” in Home Health Care: Impact on Nurse Practices

PubMed Central

Murtaugh, Christopher M; Pezzin, Liliana E; McDonald, Margaret V; Feldman, Penny H; Peng, Timothy R

2005-01-01

Objective To test the effectiveness of two interventions designed to improve the adoption of evidence-based practices by home health nurses caring for heart failure (HF) patients. Data Sources/Study Setting Information on nurse practices was abstracted from the clinical records of patients admitted between June 2000 and November 2001 to the care of 354 study nurses at a large, urban, nonprofit home care agency. Study Design The study employed a randomized design with nurses assigned to usual care or one of two intervention groups upon identification of an eligible patient. The basic intervention was a one-time e-mail reminder highlighting six HF-specific clinical recommendations. The augmented intervention consisted of the initial e-mail reminder supplemented by provider prompts, patient education material, and clinical nurse specialist outreach. Data Collection At each home health visit provided by a study nurse to an eligible HF patient during the 45-day follow-up period, a structured chart abstraction tool was used to collect information on whether the nurse provided the care practices highlighted in the e-mail reminder. Principal Findings Both the basic and the augmented interventions greatly increased the practice of evidence-based care, according to patient records, in the areas of patient assessment and instructions about HF disease management. While not all results were statistically significant at conventional levels, intervention effects were positive in virtually all cases and effect magnitudes frequently were large. Conclusions The results of this randomized trial strongly support the efficacy of just-in-time evidence-based reminders as a means of changing clinical practice among home health nurses who are geographically dispersed and spend much of their time in the field. PMID:15960694

Correlation of the Care by Design primary care practice redesign model and the principles of the patient-centered medical home.

PubMed

Egger, Marlene J; Day, Julie; Scammon, Debra L; Li, Yao; Wilson, Andrew; Magill, Michael K

2012-01-01

Health care reform requires major changes in the organization and delivery of primary care. In 2003, the University of Utah Community Clinics began developing Care by Design (CBD), a primary care model emphasizing access, care teams, and planned care. In 2007, leading primary care organizations published joint principles of the patient-centered medical home (PCMH), the basis for recognition of practices as PCMHs by the National Committee for Quality Assurance (NCQA). The objective of this study was to compare CBD and PCMH metrics conceptually and statistically. This was an observational study in 10 urban and rural primary care clinics including 56 providers. A self-evaluation included the CBD Extent of Use survey and self-estimated PCMH values. The main and secondary outcome measures were CBD scores and PCMH values, respectively. CBD and PCMH principles share common themes such as appropriate access, team-based care, the use of an augmented electronic medical record, planned care, and self-management support. CBD focuses more on the process of practice transformation. The NCQA PCMH standards focus more on structure, including policy, capacity, and populated electronic medical record fields. The Community Clinics' clinic-level PCMH/CBD correlations were low (P > .05.) Practice redesign requires an ability to assess uptake of the redesign as a transformation progresses. The correlation of CBD and PCMH is substantial conceptually but low statistically. PCMH and CBD focus on complementary aspects of redesign: PCMH on structure and CBD on process. Both domains should be addressed in practice reform. Both metrics are works in progress.

Small-window parametric imaging based on information entropy for ultrasound tissue characterization

PubMed Central

Tsui, Po-Hsiang; Chen, Chin-Kuo; Kuo, Wen-Hung; Chang, King-Jen; Fang, Jui; Ma, Hsiang-Yang; Chou, Dean

2017-01-01

Constructing ultrasound statistical parametric images by using a sliding window is a widely adopted strategy for characterizing tissues. Deficiency in spatial resolution, the appearance of boundary artifacts, and the prerequisite data distribution limit the practicability of statistical parametric imaging. In this study, small-window entropy parametric imaging was proposed to overcome the above problems. Simulations and measurements of phantoms were executed to acquire backscattered radiofrequency (RF) signals, which were processed to explore the feasibility of small-window entropy imaging in detecting scatterer properties. To validate the ability of entropy imaging in tissue characterization, measurements of benign and malignant breast tumors were conducted (n = 63) to compare performances of conventional statistical parametric (based on Nakagami distribution) and entropy imaging by the receiver operating characteristic (ROC) curve analysis. The simulation and phantom results revealed that entropy images constructed using a small sliding window (side length = 1 pulse length) adequately describe changes in scatterer properties. The area under the ROC for using small-window entropy imaging to classify tumors was 0.89, which was higher than 0.79 obtained using statistical parametric imaging. In particular, boundary artifacts were largely suppressed in the proposed imaging technique. Entropy enables using a small window for implementing ultrasound parametric imaging. PMID:28106118

All-Atom Four-Body Knowledge-Based Statistical Potentials to Distinguish Native Protein Structures from Nonnative Folds

PubMed Central

2017-01-01

Recent advances in understanding protein folding have benefitted from coarse-grained representations of protein structures. Empirical energy functions derived from these techniques occasionally succeed in distinguishing native structures from their corresponding ensembles of nonnative folds or decoys which display varying degrees of structural dissimilarity to the native proteins. Here we utilized atomic coordinates of single protein chains, comprising a large diverse training set, to develop and evaluate twelve all-atom four-body statistical potentials obtained by exploring alternative values for a pair of inherent parameters. Delaunay tessellation was performed on the atomic coordinates of each protein to objectively identify all quadruplets of interacting atoms, and atomic potentials were generated via statistical analysis of the data and implementation of the inverted Boltzmann principle. Our potentials were evaluated using benchmarking datasets from Decoys-‘R'-Us, and comparisons were made with twelve other physics- and knowledge-based potentials. Ranking 3rd, our best potential tied CHARMM19 and surpassed AMBER force field potentials. We illustrate how a generalized version of our potential can be used to empirically calculate binding energies for target-ligand complexes, using HIV-1 protease-inhibitor complexes for a practical application. The combined results suggest an accurate and efficient atomic four-body statistical potential for protein structure prediction and assessment. PMID:29119109

Fully Bayesian inference for structural MRI: application to segmentation and statistical analysis of T2-hypointensities.

PubMed

Schmidt, Paul; Schmid, Volker J; Gaser, Christian; Buck, Dorothea; Bührlen, Susanne; Förschler, Annette; Mühlau, Mark

2013-01-01

Aiming at iron-related T2-hypointensity, which is related to normal aging and neurodegenerative processes, we here present two practicable approaches, based on Bayesian inference, for preprocessing and statistical analysis of a complex set of structural MRI data. In particular, Markov Chain Monte Carlo methods were used to simulate posterior distributions. First, we rendered a segmentation algorithm that uses outlier detection based on model checking techniques within a Bayesian mixture model. Second, we rendered an analytical tool comprising a Bayesian regression model with smoothness priors (in the form of Gaussian Markov random fields) mitigating the necessity to smooth data prior to statistical analysis. For validation, we used simulated data and MRI data of 27 healthy controls (age: [Formula: see text]; range, [Formula: see text]). We first observed robust segmentation of both simulated T2-hypointensities and gray-matter regions known to be T2-hypointense. Second, simulated data and images of segmented T2-hypointensity were analyzed. We found not only robust identification of simulated effects but also a biologically plausible age-related increase of T2-hypointensity primarily within the dentate nucleus but also within the globus pallidus, substantia nigra, and red nucleus. Our results indicate that fully Bayesian inference can successfully be applied for preprocessing and statistical analysis of structural MRI data.

THE MEASUREMENT OF BONE QUALITY USING GRAY LEVEL CO-OCCURRENCE MATRIX TEXTURAL FEATURES.

PubMed

Shirvaikar, Mukul; Huang, Ning; Dong, Xuanliang Neil

2016-10-01

In this paper, statistical methods for the estimation of bone quality to predict the risk of fracture are reported. Bone mineral density and bone architecture properties are the main contributors of bone quality. Dual-energy X-ray Absorptiometry (DXA) is the traditional clinical measurement technique for bone mineral density, but does not include architectural information to enhance the prediction of bone fragility. Other modalities are not practical due to cost and access considerations. This study investigates statistical parameters based on the Gray Level Co-occurrence Matrix (GLCM) extracted from two-dimensional projection images and explores links with architectural properties and bone mechanics. Data analysis was conducted on Micro-CT images of 13 trabecular bones (with an in-plane spatial resolution of about 50μm). Ground truth data for bone volume fraction (BV/TV), bone strength and modulus were available based on complex 3D analysis and mechanical tests. Correlation between the statistical parameters and biomechanical test results was studied using regression analysis. The results showed Cluster-Shade was strongly correlated with the microarchitecture of the trabecular bone and related to mechanical properties. Once the principle thesis of utilizing second-order statistics is established, it can be extended to other modalities, providing cost and convenience advantages for patients and doctors.

THE MEASUREMENT OF BONE QUALITY USING GRAY LEVEL CO-OCCURRENCE MATRIX TEXTURAL FEATURES

PubMed Central

Shirvaikar, Mukul; Huang, Ning; Dong, Xuanliang Neil

2016-01-01

In this paper, statistical methods for the estimation of bone quality to predict the risk of fracture are reported. Bone mineral density and bone architecture properties are the main contributors of bone quality. Dual-energy X-ray Absorptiometry (DXA) is the traditional clinical measurement technique for bone mineral density, but does not include architectural information to enhance the prediction of bone fragility. Other modalities are not practical due to cost and access considerations. This study investigates statistical parameters based on the Gray Level Co-occurrence Matrix (GLCM) extracted from two-dimensional projection images and explores links with architectural properties and bone mechanics. Data analysis was conducted on Micro-CT images of 13 trabecular bones (with an in-plane spatial resolution of about 50μm). Ground truth data for bone volume fraction (BV/TV), bone strength and modulus were available based on complex 3D analysis and mechanical tests. Correlation between the statistical parameters and biomechanical test results was studied using regression analysis. The results showed Cluster-Shade was strongly correlated with the microarchitecture of the trabecular bone and related to mechanical properties. Once the principle thesis of utilizing second-order statistics is established, it can be extended to other modalities, providing cost and convenience advantages for patients and doctors. PMID:28042512

Small-window parametric imaging based on information entropy for ultrasound tissue characterization

NASA Astrophysics Data System (ADS)

Tsui, Po-Hsiang; Chen, Chin-Kuo; Kuo, Wen-Hung; Chang, King-Jen; Fang, Jui; Ma, Hsiang-Yang; Chou, Dean

2017-01-01

Constructing ultrasound statistical parametric images by using a sliding window is a widely adopted strategy for characterizing tissues. Deficiency in spatial resolution, the appearance of boundary artifacts, and the prerequisite data distribution limit the practicability of statistical parametric imaging. In this study, small-window entropy parametric imaging was proposed to overcome the above problems. Simulations and measurements of phantoms were executed to acquire backscattered radiofrequency (RF) signals, which were processed to explore the feasibility of small-window entropy imaging in detecting scatterer properties. To validate the ability of entropy imaging in tissue characterization, measurements of benign and malignant breast tumors were conducted (n = 63) to compare performances of conventional statistical parametric (based on Nakagami distribution) and entropy imaging by the receiver operating characteristic (ROC) curve analysis. The simulation and phantom results revealed that entropy images constructed using a small sliding window (side length = 1 pulse length) adequately describe changes in scatterer properties. The area under the ROC for using small-window entropy imaging to classify tumors was 0.89, which was higher than 0.79 obtained using statistical parametric imaging. In particular, boundary artifacts were largely suppressed in the proposed imaging technique. Entropy enables using a small window for implementing ultrasound parametric imaging.

LandScape: a simple method to aggregate p-values and other stochastic variables without a priori grouping.

PubMed

Wiuf, Carsten; Schaumburg-Müller Pallesen, Jonatan; Foldager, Leslie; Grove, Jakob

2016-08-01

In many areas of science it is custom to perform many, potentially millions, of tests simultaneously. To gain statistical power it is common to group tests based on a priori criteria such as predefined regions or by sliding windows. However, it is not straightforward to choose grouping criteria and the results might depend on the chosen criteria. Methods that summarize, or aggregate, test statistics or p-values, without relying on a priori criteria, are therefore desirable. We present a simple method to aggregate a sequence of stochastic variables, such as test statistics or p-values, into fewer variables without assuming a priori defined groups. We provide different ways to evaluate the significance of the aggregated variables based on theoretical considerations and resampling techniques, and show that under certain assumptions the FWER is controlled in the strong sense. Validity of the method was demonstrated using simulations and real data analyses. Our method may be a useful supplement to standard procedures relying on evaluation of test statistics individually. Moreover, by being agnostic and not relying on predefined selected regions, it might be a practical alternative to conventionally used methods of aggregation of p-values over regions. The method is implemented in Python and freely available online (through GitHub, see the Supplementary information).

Control charts for monitoring accumulating adverse event count frequencies from single and multiple blinded trials.

PubMed

Gould, A Lawrence

2016-12-30

Conventional practice monitors accumulating information about drug safety in terms of the numbers of adverse events reported from trials in a drug development program. Estimates of between-treatment adverse event risk differences can be obtained readily from unblinded trials with adjustment for differences among trials using conventional statistical methods. Recent regulatory guidelines require monitoring the cumulative frequency of adverse event reports to identify possible between-treatment adverse event risk differences without unblinding ongoing trials. Conventional statistical methods for assessing between-treatment adverse event risks cannot be applied when the trials are blinded. However, CUSUM charts can be used to monitor the accumulation of adverse event occurrences. CUSUM charts for monitoring adverse event occurrence in a Bayesian paradigm are based on assumptions about the process generating the adverse event counts in a trial as expressed by informative prior distributions. This article describes the construction of control charts for monitoring adverse event occurrence based on statistical models for the processes, characterizes their statistical properties, and describes how to construct useful prior distributions. Application of the approach to two adverse events of interest in a real trial gave nearly identical results for binomial and Poisson observed event count likelihoods. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Six Sigma and Introductory Statistics Education

ERIC Educational Resources Information Center

Maleyeff, John; Kaminsky, Frank C.

2002-01-01

A conflict exists between the way statistics is practiced in contemporary business environments and the way statistics is taught in schools of management. While businesses are embracing programs, such as six sigma and TQM, that bring statistical methods to the forefront of management decision making, students do not graduate with the skills to…

Statistics without Tears: Complex Statistics with Simple Arithmetic

ERIC Educational Resources Information Center

Smith, Brian

2011-01-01

One of the often overlooked aspects of modern statistics is the analysis of time series data. Modern introductory statistics courses tend to rush to probabilistic applications involving risk and confidence. Rarely does the first level course linger on such useful and fascinating topics as time series decomposition, with its practical applications…

Knowledge and practice of nurses towards prevention of pressure ulcer and associated factors in Gondar University Hospital, Northwest Ethiopia.

PubMed

Nuru, Nurhusien; Zewdu, Fisseha; Amsalu, Senafikish; Mehretie, Yohannes

2015-01-01

Pressure ulcers are the common conditions among patients hospitalized in acute and chronic care facilities and impose significant burden on patients, their relatives and caregivers. Pressure ulcers have been described as one of the most costly and physically debilitating complications since the 20(th) century. The pain and discomfort due to pressure ulcer prolongs illness, rehabilitation, time of discharge and even contribute to disability and death. This study was aimed to assess knowledge, practice and factors associated with pressure ulcer prevention among nurses in Gondar University Hospital, North-west Ethiopia. An institution-based cross-sectional survey was conducted from March 15 - April 10, 2014 among 248 nurses in Gondar University hospital. A pretested and structured self-administered questionnaire was used for data collection. Data were entered using EPI info version 3.5.3 statistical software and analyzed using SPSS version 20 statistical package. Descriptive statistics was used to describe the study population in relation to relevant variables. Bivariate and multivariate logistic regression was also carried out to see the effect of each independent variable on the dependent variable. Nearly half (54.4 %) of the nurses had good knowledge; similarly 48.4 % of them had good practice on prevention of pressure ulcer. Educational status [Adjusted Odds Ratio (AOR) = 2.4, 95 % CI (1.39-4.15)], work experience [AOR = 4.8, 95 % CI (1.31-10.62)] and having formal training [AOR = 4.1, 95 % CI (1.29-9.92)] were significantly associated with knowledge on prevention of pressure ulcer. While, satisfaction with nursing leadership [AOR = 1.9, 95 % CI (1.04-3.82)], staff shortage [AOR = 0.07, 95 % CI (0.03-0.13)] and inadequate facilities and equipment [AOR = 0.4, 95 % CI (0.19-0.83)] were found to be significantly associated with the practice on prevention of pressure ulcer. Knowledge and practice of the nurses regarding prevention of pressure ulcer was found to be inadequate. Having higher educational status, attending formal training and being experienced were positively associated with knowledge; while shortage of facilities and equipments, dissatisfaction with nursing leadership and inadequate staff number showed negative association with practice of nurse's pressure ulcer prevention. In-service training and upgrading courses are some of the important steps to improve nurses' knowledge and practice on prevention of ulcer pressure.

Analyzing Carbohydrate-Protein Interaction Based on Single Plasmonic Nanoparticle by Conventional Dark Field Microscopy.

PubMed

Jin, Hong-Ying; Li, Da-Wei; Zhang, Na; Gu, Zhen; Long, Yi-Tao

2015-06-10

We demonstrated a practical method to analyze carbohydrate-protein interaction based on single plasmonic nanoparticles by conventional dark field microscopy (DFM). Protein concanavalin A (ConA) was modified on large sized gold nanoparticles (AuNPs), and dextran was conjugated on small sized AuNPs. As the interaction between ConA and dextran resulted in two kinds of gold nanoparticles coupled together, which caused coupling of plasmonic oscillations, apparent color changes (from green to yellow) of the single AuNPs were observed through DFM. Then, the color information was instantly transformed into a statistic peak wavelength distribution in less than 1 min by a self-developed statistical program (nanoparticleAnalysis). In addition, the interaction between ConA and dextran was proved with biospecific recognition. This approach is high-throughput and real-time, and is a convenient method to analyze carbohydrate-protein interaction at the single nanoparticle level efficiently.

Endpoints and cutpoints in head and neck oncology trials: methodical background, challenges, current practice and perspectives.

PubMed

Hezel, Marcus; von Usslar, Kathrin; Kurzweg, Thiemo; Lörincz, Balazs B; Knecht, Rainald

2016-04-01

This article reviews the methodical and statistical basics of designing a trial, with a special focus on the process of defining and choosing endpoints and cutpoints as the foundations of clinical research, and ultimately that of evidence-based medicine. There has been a significant progress in the treatment of head and neck cancer in the past few decades. Currently available treatment options can have a variety of different goals, depending e.g. on tumor stage, among other factors. The outcome of a specific treatment in clinical trials is measured using endpoints. Besides classical endpoints, such as overall survival or organ preservation, other endpoints like quality of life are becoming increasingly important in designing and conducting a trial. The present work is based on electronic research and focuses on the solid methodical and statistical basics of a clinical trial, on the structure of study designs and on the presentation of various endpoints.

Accuracy of electrocardiogram reading by family practice residents.

PubMed

Sur, D K; Kaye, L; Mikus, M; Goad, J; Morena, A

2000-05-01

This study evaluated the electrocardiogram (EKG) reading skills of family practice residents. A multicenter study was carried out to evaluate the accuracy of EKG reading in the family practice setting. Based on the frequency and potential for clinical significance, we chose 18 common findings on 10 EKGs for evaluation. The EKGs were then distributed to residents at six family practice residencies. Residents were given one point for the identification of each correct EKG finding and scored based on the number correct over a total of 18. Sixty-one residents (20 first year, 23 second year, and 18 third year) completed readings for 10 EKGs and were evaluated for their ability to identify 18 EKG findings. The median score out of 18 possible points for all first-, second-, and third-year residents was 12, 12, and 11.5, respectively. Twenty-one percent of residents did not correctly identify a tracing of an acute myocardial infarction. Data analysis showed no statistically significant difference among the three groups of residents. We evaluated the accuracy of EKG reading skills of family practice residents at each year of training. This study suggests that EKG reading skills do not improve during residency, and further study of curricular change to improve these skills should be considered.

Statistics Graduate Students' Professional Development for Teaching: A Communities of Practice Model

NASA Astrophysics Data System (ADS)

Justice, Nicola

Graduate teaching assistants (GTAs) are responsible for instructing approximately 25% of introductory statistics courses in the United States (Blair, Kirkman, & Maxwell, 2013). Most research on GTA professional development focuses on structured activities (e.g., courses, workshops) that have been developed to improve GTAs' pedagogy and content knowledge. Few studies take into account the social contexts of GTAs' professional development. However, GTAs perceive their social interactions with other GTAs to be a vital part of their preparation and support for teaching (e.g., Staton & Darling, 1989). Communities of practice (CoPs) are one way to bring together the study of the social contexts and structured activities of GTA professional development. CoPs are defined as groups of practitioners who deepen their knowledge and expertise by interacting with each other on an ongoing basis (e.g., Lave & Wenger, 1991). Graduate students may participate in CoPs related to teaching in many ways, including attending courses or workshops, participating in weekly meetings, engaging in informal discussions about teaching, or participating in e-mail conversations related to teaching tasks. This study explored the relationship between statistics graduate students' experiences in CoPs and the extent to which they hold student-centered teaching beliefs. A framework for characterizing GTAs' experiences in CoPs was described and a theoretical model relating these characteristics to GTAs' beliefs was developed. To gather data to test the model, the Graduate Students' Experiences Teaching Statistics (GETS) Inventory was created. Items were written to collect information about GTAs' current teaching beliefs, teaching beliefs before entering their degree programs, characteristics of GTAs' experiences in CoPs, and demographic information. Using an online program, the GETS Inventory was administered to N =218 statistics graduate students representing 37 institutions in 24 different U.S. states. The data gathered from the national survey suggest that statistics graduate students often experience CoPs through required meetings and voluntary discussions about teaching. Participants feel comfortable disagreeing with the people they perceive to be most influential on their teaching beliefs. Most participants perceive a faculty member to have the most influential role in shaping their teaching beliefs. The survey data did not provide evidence to support the proposed theoretical model relating characteristics of experiences in CoPs and beliefs about teaching statistics. Based on cross-validation results, prior beliefs about teaching statistics was the best predictor of current beliefs. Additional models were retained that included student characteristics suggested by previous literature to be associated with student-centered or traditional teaching beliefs (e.g., prior teaching experience, international student status). The results of this study can be used to inform future efforts to help promote student-centered teaching beliefs and teaching practices among statistics GTAs. Modifications to the GETS Inventory are suggested for use in future research designed to gather information about GTAs, their teaching beliefs, and their experiences in CoPs. Suggestions are also made for aspects of CoPs that might be studied further in order to learn how CoPs can promote teaching beliefs and practices that support student learning.

The relationship between individualized care and the practice environment: an international study.

PubMed

Papastavrou, Evridiki; Acaroglu, Rengin; Sendir, Merdiye; Berg, Agneta; Efstathiou, Georgios; Idvall, Ewa; Kalafati, Maria; Katajisto, Jouko; Leino-Kilpi, Helena; Lemonidou, Chryssoula; da Luz, Maria Deolinda Antunes; Suhonen, Riitta

2015-01-01

Previous research studies have found that the better the quality of practice environments in hospitals, the better the outcomes for nurses and patients. Practice environment may influence nurses' ability to individualize care but the detailed relationship between individualized care and the professional practice environment has not been investigated widely. Some evidence exists about the association of practice environments with the level of individualization of nursing care, but this evidence is based on single national studies. The aim of this study was to determine whether nurses' views of their professional practice environment associate with their views of the level of care individualization in seven countries. This study had an international, multisite, prospective, cross-sectional, exploratory survey design. The study involved acute orthopedic and trauma surgical inpatient wards (n=91) in acute care hospitals (n=34) in seven countries, Cyprus, Finland, Greece, the State of Kansas, USA, Portugal, Sweden, and Turkey. Nurses (n=1163), registered or licensed practical, working in direct patient care, in orthopedic and trauma inpatient units in acute care hospitals in seven countries participated in the study. Self-administered questionnaires, including two instruments, the Revised Professional Practice Environment and the Individualized Care Scale-Nurse (Individualized Care Scale-Nurse A and B) were used for data collection. Data were analyzed statistically using descriptive statistics, simultaneous multiple regression analysis, and generalized linear model. Two regression models were applied to assess the predictive validity of the Revised Professional Practice Environment on the Individualized Care Scale-Nurse-A and B. The results showed that elements of the professional practice environment were associated with care individualization. Internal work motivation, cultural sensitivity, control over practice, teamwork, and staff relationship with physicians were predictors of support (Individualized Care Scale-A) for and the delivery (Individualized Care Scale-B) of individualized care. The results of this study provide evidence that environment aspect could explain variations in care individualization. These findings support the assertion that individualized care needs to be understood in a broader context than the immediate nurse-patient relationship and that careful development of the care environment may be an effective way to improve care quality and outcomes. Copyright © 2014 Elsevier Ltd. All rights reserved.

Financial Stylized Facts in the Word of Mouth Model

NASA Astrophysics Data System (ADS)

Misawa, Tadanobu; Watanabe, Kyoko; Shimokawa, Tetsuya

Recently, we proposed an agent-based model called the word of mouth model to analyze the influence of an information transmission process to price formation in financial markets. Especially, the short-term predictability of asset return was focused on and an explanation in the view of information transmission was provided to the question why the predictability was much clearly observed in the small-sized stocks. This paper, to extend the previous study, demonstrates that the word of mouth model also has a consistency with other important financial stylized facts. This strengthens the possibility that the information transmission among investors plays a crucial role in price formation. Concretely, this paper addresses two famous statistical features of returns; the leptokurtic distribution of return and the autocorrelation of return volatility. The reasons why these statistical facts receive especial attentions of researchers among financial stylized facts are their statistical robustness and practical importance, such as the applications to the derivative pricing problems.

Statistical analysis of QC data and estimation of fuel rod behaviour

NASA Astrophysics Data System (ADS)

Heins, L.; Groβ, H.; Nissen, K.; Wunderlich, F.

1991-02-01

The behaviour of fuel rods while in reactor is influenced by many parameters. As far as fabrication is concerned, fuel pellet diameter and density, and inner cladding diameter are important examples. Statistical analyses of quality control data show a scatter of these parameters within the specified tolerances. At present it is common practice to use a combination of superimposed unfavorable tolerance limits (worst case dataset) in fuel rod design calculations. Distributions are not considered. The results obtained in this way are very conservative but the degree of conservatism is difficult to quantify. Probabilistic calculations based on distributions allow the replacement of the worst case dataset by a dataset leading to results with known, defined conservatism. This is achieved by response surface methods and Monte Carlo calculations on the basis of statistical distributions of the important input parameters. The procedure is illustrated by means of two examples.

Description and evaluation of an initiative to develop advanced practice nurses in mainland China.

PubMed

Wong, Frances Kam Yuet; Peng, Gangyi; Kan, Eva C; Li, Yajie; Lau, Ada T; Zhang, Liying; Leung, Annie F; Liu, Xueqin; Leung, Vilna O; Chen, Weiju; Li, Ming

2010-05-01

This paper describes an initiative to develop Advanced Practice Nurses (APNs) in mainland China and evaluation of the outcomes of the described programme. The pioneer project was an APN postgraduate programme involving 38 students conducted in Guangzhou, China during 2004-2005. Data related to curriculum content and process, student performance, self-reported competence and programme effects were collected. Quantitative data such as demographic data, student performance were analysed using descriptive statistics and the pre and post self-reported practice of competence was compared using chi-square test. Qualitative data such as case reports and interviews were examined using thematic analyses. Reflective journals and case studies revealed the attributes of APNs in managing clinical cases at advanced level, applying theory into practice and exercising evidence-based practice. The relatively modest self-reported practice of competence suggested that the graduates were novice APNs and needed continued development after the completion of the programme. This study reports the experience of an initiative in China and suggests a useful curriculum framework for educating APNs. Copyright 2009 Elsevier Ltd. All rights reserved.

[Identification of the scope of practice for dental nurses with Delphi method].

PubMed

Li, Yu-Hong; Lu, Yue-Cen; Huang, Yao; Ruan, Hong; Wu, Zheng-Yi

2016-10-01

To identify the practice scope of dental nurses under the new situations. The draft of scope of practice for dental nurses was based on theoretical analysis, literature review and consultation of advisory panel, and the final scope of practice for dental nurses was established by using the Delphi method. Statistical analysis was implemented using coefficient of variation, Kendall W with SPSS 17.0 software package. Thirty experts were consulted twice by using the Delphi method. The effective rates of two rounds of questionnaire were 100% and 73.3%, respectively. The authority coefficient was 0.837, and the P value of expert coordination coefficients W was less than 0.05. There were totally 116 suggestions from the experts, and 96 were accepted. The scope of practice for dental nurses was finally established, including 4 primary indexes and 25 secondary indexes. The scope of practice for dental nurses under the new situations is established in China through scientific methods. It is favorable for position management of dental nurses and may promote the development of nurse specialists in dental clinic.

Future time perspective and positive health practices in young adults: an extension.

PubMed

Mahon, N E; Yarcheski, T J; Yarcheski, A

1997-06-01

A sample of 69 young adults attending a public university responded to the Future Time Perspective Inventory, two subscales of the Time Experience Scales (Fast and Slow Tempo), and the Personal Lifestyle Questionnaire in classroom settings. A statistically significant correlation (.52) was found between scores for future time perspective and the ratings for the practice of positive health behaviors in young adults. This correlation was larger than those previously found for middle and late adolescents. Scores on subscales of individual health practices and future time perspective indicated statistically significant correlations for five (.25 to .56) of the six subscales. Scores on neither Fast nor Slow Tempo were related to ratings of positive health practices or ratings on subscales measuring positive health practices.

Spatial-temporal clustering of companion animal enteric syndrome: detection and investigation through the use of electronic medical records from participating private practices.

PubMed

Anholt, R M; Berezowski, J; Robertson, C; Stephen, C

2015-09-01

There is interest in the potential of companion animal surveillance to provide data to improve pet health and to provide early warning of environmental hazards to people. We implemented a companion animal surveillance system in Calgary, Alberta and the surrounding communities. Informatics technologies automatically extracted electronic medical records from participating veterinary practices and identified cases of enteric syndrome in the warehoused records. The data were analysed using time-series analyses and a retrospective space-time permutation scan statistic. We identified a seasonal pattern of reports of occurrences of enteric syndromes in companion animals and four statistically significant clusters of enteric syndrome cases. The cases within each cluster were examined and information about the animals involved (species, age, sex), their vaccination history, possible exposure or risk behaviour history, information about disease severity, and the aetiological diagnosis was collected. We then assessed whether the cases within the cluster were unusual and if they represented an animal or public health threat. There was often insufficient information recorded in the medical record to characterize the clusters by aetiology or exposures. Space-time analysis of companion animal enteric syndrome cases found evidence of clustering. Collection of more epidemiologically relevant data would enhance the utility of practice-based companion animal surveillance.

Discordance between Lifestyle-Related Health Practices and Beliefs of People Living in Kuwait: A Community-Based Study

PubMed Central

Alfadhli, Suad; Al-Mazeedi, Sabriyah; Bodner, Michael E.; Dean, Elizabeth

2017-01-01

Objective To examine the concordance between lifestyle practices and beliefs of people living in Kuwait, and between their lifestyle practices and established evidence-informed recommendations for health. Subjects and Methods A cross-sectional interview questionnaire study was conducted using a convenience sample of 100 adults living in Kuwait (age range 19-75 years). The interview included sections on demographics, and lifestyle-related practices and beliefs related to smoking, diet/nutrition, physical activity/exercise, sleep, and stress. Diet/nutrition and physical activity/exercise benchmarks were based on international standards. Analyses included descriptive statistics and the χ2 test. Results Beliefs about the importance of nutrition in lifestyle-related conditions were limited, and this was apparent in participants' dietary habits, e.g., low consumption of fruit/vegetables and multigrains: 16 (16%) and 9 (9%) met the recommended guidelines, respectively. Ninety-nine (99%) believed physical activity/exercise affects health overall, and 44 (44%) exercised regularly. Of the sample of 100, 20 (20%) exercised in accordance with evidence-based recommendations for maximal health. Compared with beliefs about other lifestyle-related behaviors/attributes, respondents believed nutrition contributed more than stress to heart disease, cancer, and stroke, and stress contributed more than nutrition to hypertension and diabetes. Conclusion In this study, our findings showed a discrepancy between lifestyle-related practices and beliefs, and between each of these and evidence-based recommendations for maximal health, i.e., not smoking, several servings of fruit and vegetables and whole-grain foods daily, healthy weight, restorative sleep, and low-to-moderate stress levels. PMID:27764822

Variability in ADHD care in community-based pediatrics.

PubMed

Epstein, Jeffery N; Kelleher, Kelly J; Baum, Rebecca; Brinkman, William B; Peugh, James; Gardner, William; Lichtenstein, Phil; Langberg, Joshua

2014-12-01

Although many efforts have been made to improve the quality of care delivered to children with attention-deficit/hyperactivity disorder (ADHD) in community-based pediatric settings, little is known about typical ADHD care in these settings other than rates garnered through pediatrician self-report. Rates of evidence-based ADHD care and sources of variability (practice-level, pediatrician-level, patient-level) were determined by chart reviews of a random sample of 1594 patient charts across 188 pediatricians at 50 different practices. In addition, the associations of Medicaid-status and practice setting (ie, urban, suburban, and rural) with the quality of ADHD care were examined. Parent- and teacher-rating scales were used during ADHD assessment with approximately half of patients. The use of Diagnostic and Statistical Manual of Mental Disorders criteria was documented in 70.4% of patients. The vast majority (93.4%) of patients with ADHD were receiving medication and only 13.0% were receiving psychosocial treatment. Parent- and teacher-ratings were rarely collected to monitor treatment response or side effects. Further, fewer than half (47.4%) of children prescribed medication had contact with their pediatrician within the first month of prescribing. Most variability in pediatrician-delivered ADHD care was accounted for at the patient level; however, pediatricians and practices also accounted for significant variability on specific ADHD care behaviors. There is great need to improve the quality of ADHD care received by children in community-based pediatric settings. Improvements will likely require systematic interventions at the practice and policy levels to promote change. Copyright © 2014 by the American Academy of Pediatrics.

Podiatry Manpower: Characteristics of Clinical Practice United States--1970. Vital and Health Statistics--Series 14, No. 11.

ERIC Educational Resources Information Center

National Center for Health Statistics (DHEW/PHS), Hyattsville, MD.

The report on the clinical practice of podiatry is the product of a national survey of podiatrists conducted by the National Center for Health Statistics with the cooperation of the American Podiatry Association during the period January--March 1970. The survey was conducted by a self-administered questionnaire (a facsimile of which comprises an…

State of Business Statistics Education in MENA Region: A Comparative Study with Best Practices

ERIC Educational Resources Information Center

Hijazi, Rafiq; Zoubeidi, Taoufik

2017-01-01

Purpose: The purpose of this study is to investigate the state of undergraduate business statistics education in the Middle East and North Africa (MENA) and assess its alignment with the best practices in equipping business graduates with the knowledge and skills demanded by the labor market. Design/methodology/approach: A survey of 108…

Good pharmacovigilance practices: technology enabled.

PubMed

Nelson, Robert C; Palsulich, Bruce; Gogolak, Victor

2002-01-01

The assessment of spontaneous reports is most effective it is conducted within a defined and rigorous process. The framework for good pharmacovigilance process (GPVP) is proposed as a subset of good postmarketing surveillance process (GPMSP), a functional structure for both a public health and corporate risk management strategy. GPVP has good practices that implement each step within a defined process. These practices are designed to efficiently and effectively detect and alert the drug safety professional to new and potentially important information on drug-associated adverse reactions. These practices are enabled by applied technology designed specifically for the review and assessment of spontaneous reports. Specific practices include rules-based triage, active query prompts for severe organ insults, contextual single case evaluation, statistical proportionality and correlational checks, case-series analyses, and templates for signal work-up and interpretation. These practices and the overall GPVP are supported by state-of-the-art web-based systems with powerful analytical engines, workflow and audit trials to allow validated systems support for valid drug safety signalling efforts. It is also important to understand that a process has a defined set of steps and any one cannot stand independently. Specifically, advanced use of technical alerting methods in isolation can mislead and allow one to misunderstand priorities and relative value. In the end, pharmacovigilance is a clinical art and a component process to the science of pharmacoepidemiology and risk management.

Derivation of a needs based capitation formula for allocating prescribing budgets to health authorities and primary care groups in England: regression analysis

PubMed Central

Rice, Nigel; Dixon, Paul; Lloyd, David C E F; Roberts, David

2000-01-01

Objective To develop a weighted capitation formula for setting target allocations for prescribing expenditures for health authorities and primary care groups in England. Design Regression analysis relating prescribing costs to the demographic, morbidity, and mortality composition of practice lists. Setting 8500 general practices in England. Subjects Data from the 1991 census were attributed to practice lists on the basis of the place of residence of the practice population. Main outcome measures Variation in age, sex, and temporary resident originated prescribing units (ASTRO(97)-PUs) adjusted net ingredient cost of general practices in England for 1997-8 modelled for the impact of health and social needs after controlling for differences in supply. Results A needs gradient based on the four variables: permanent sickness, percentage of dependants in no carer households, percentage of students, and percentage of births on practice lists. These, together with supply characteristics, explained 41% of variation in prescribing costs per ASTRO(97)-PU adjusted capita across practices. The latter alone explained about 35% of variation in total costs per head across practices. Conclusions The model has good statistical specification and contains intuitively plausible needs drivers of prescribing expenditure. Together with adjustments made for differences in ASTRO(97)-PUs the model is capable of explaining 62% (35%+0.65% (41%)) of variation in prescribing expenditure at practice level. The results of the study have formed the basis for setting target budgets for 1999-2000 allocations for prescribing expenditure for health authorities and primary care groups. PMID:10650026

Applied extreme-value statistics

DOE Office of Scientific and Technical Information (OSTI.GOV)

Kinnison, R.R.

1983-05-01

The statistical theory of extreme values is a well established part of theoretical statistics. Unfortunately, it is seldom part of applied statistics and is infrequently a part of statistical curricula except in advanced studies programs. This has resulted in the impression that it is difficult to understand and not of practical value. In recent environmental and pollution literature, several short articles have appeared with the purpose of documenting all that is necessary for the practical application of extreme value theory to field problems (for example, Roberts, 1979). These articles are so concise that only a statistician can recognise all themore » subtleties and assumptions necessary for the correct use of the material presented. The intent of this text is to expand upon several recent articles, and to provide the necessary statistical background so that the non-statistician scientist can recognize and extreme value problem when it occurs in his work, be confident in handling simple extreme value problems himself, and know when the problem is statistically beyond his capabilities and requires consultation.« less

Implementation in action: how Australian Exercise Physiologists approach exercise prescription for people with mental illness.

PubMed

Stanton, Robert; Rosenbaum, Simon; Lederman, Oscar; Happell, Brenda

2018-04-01

Accredited Exercise Physiologists (AEPs) are trained to deliver exercise and physical activity interventions for people with chronic and complex health conditions including those with mental illness. However, their views on exercise for mental illness, their exercise prescription practices, and need for further training are unknown. To examine the way in which Australian AEPs prescribe exercise for people with mental illness. Eighty-one AEPs (33.3 ± 10.4 years) completed an online version of the Exercise in Mental Illness Questionnaire. Findings are reported using descriptive statistics. AEPs report a high level of knowledge and confidence in prescribing exercise for people with mental illness. AEPs rate exercise to be at least of equal value to many established treatments for mental illness, and frequently prescribe exercise based on current best-practice principles. A need for additional training was identified. The response rate was low (2.4%) making generalisations from the findings difficult. Exercise prescription practices utilised by AEPs are consistent with current best-practice guidelines and there is frequent consultation with consumers to individualise exercise based on their preferences and available resources. Further training is deemed important.

Hold My Calls: An Activity for Introducing the Statistical Process

ERIC Educational Resources Information Center

Abel, Todd; Poling, Lisa

2015-01-01

Working with practicing teachers, this article demonstrates, through the facilitation of a statistical activity, how to introduce and investigate the unique qualities of the statistical process including: formulate a question, collect data, analyze data, and interpret data.

Why Is Statistics Perceived as Difficult and Can Practice during Training Change Perceptions? Insights from a Prospective Mathematics Teacher

ERIC Educational Resources Information Center

Fitzmaurice, Olivia; Leavy, Aisling; Hannigan, Ailish

2014-01-01

An investigation into prospective mathematics/statistics teachers' (n = 134) conceptual understanding of statistics and attitudes to statistics carried out at the University of Limerick revealed an overall positive attitude to statistics but a perception that it can be a difficult subject, in particular that it requires a great deal of discipline…

Quantifying, displaying and accounting for heterogeneity in the meta-analysis of RCTs using standard and generalised Q statistics

PubMed Central

2011-01-01

Background Clinical researchers have often preferred to use a fixed effects model for the primary interpretation of a meta-analysis. Heterogeneity is usually assessed via the well known Q and I2 statistics, along with the random effects estimate they imply. In recent years, alternative methods for quantifying heterogeneity have been proposed, that are based on a 'generalised' Q statistic. Methods We review 18 IPD meta-analyses of RCTs into treatments for cancer, in order to quantify the amount of heterogeneity present and also to discuss practical methods for explaining heterogeneity. Results Differing results were obtained when the standard Q and I2 statistics were used to test for the presence of heterogeneity. The two meta-analyses with the largest amount of heterogeneity were investigated further, and on inspection the straightforward application of a random effects model was not deemed appropriate. Compared to the standard Q statistic, the generalised Q statistic provided a more accurate platform for estimating the amount of heterogeneity in the 18 meta-analyses. Conclusions Explaining heterogeneity via the pre-specification of trial subgroups, graphical diagnostic tools and sensitivity analyses produced a more desirable outcome than an automatic application of the random effects model. Generalised Q statistic methods for quantifying and adjusting for heterogeneity should be incorporated as standard into statistical software. Software is provided to help achieve this aim. PMID:21473747

Organizational downsizing and age discrimination litigation: the influence of personnel practices and statistical evidence on litigation outcomes.

PubMed

Wingate, Peter H; Thornton, George C; McIntyre, Kelly S; Frame, Jennifer H

2003-02-01

The present study examined relationships between reduction-in-force (RIF) personnel practices, presentation of statistical evidence, and litigation outcomes. Policy capturing methods were utilized to analyze the components of 115 federal district court opinions involving age discrimination disparate treatment allegations and organizational downsizing. Univariate analyses revealed meaningful links between RIF personnel practices, use of statistical evidence, and judicial verdict. The defendant organization was awarded summary judgment in 73% of the claims included in the study. Judicial decisions in favor of the defendant organization were found to be significantly related to such variables as formal performance appraisal systems, termination decision review within the organization, methods of employee assessment and selection for termination, and the presence of a concrete layoff policy. The use of statistical evidence in ADEA disparate treatment litigation was investigated and found to be a potentially persuasive type of indirect evidence. Legal, personnel, and evidentiary ramifications are reviewed, and a framework of downsizing mechanics emphasizing legal defensibility is presented.

Philosophy and the practice of Bayesian statistics

PubMed Central

Gelman, Andrew; Shalizi, Cosma Rohilla

2015-01-01

A substantial school in the philosophy of science identifies Bayesian inference with inductive inference and even rationality as such, and seems to be strengthened by the rise and practical success of Bayesian statistics. We argue that the most successful forms of Bayesian statistics do not actually support that particular philosophy but rather accord much better with sophisticated forms of hypothetico-deductivism. We examine the actual role played by prior distributions in Bayesian models, and the crucial aspects of model checking and model revision, which fall outside the scope of Bayesian confirmation theory. We draw on the literature on the consistency of Bayesian updating and also on our experience of applied work in social science. Clarity about these matters should benefit not just philosophy of science, but also statistical practice. At best, the inductivist view has encouraged researchers to fit and compare models without checking them; at worst, theorists have actively discouraged practitioners from performing model checking because it does not fit into their framework. PMID:22364575

Philosophy and the practice of Bayesian statistics.

PubMed

Gelman, Andrew; Shalizi, Cosma Rohilla

2013-02-01

A substantial school in the philosophy of science identifies Bayesian inference with inductive inference and even rationality as such, and seems to be strengthened by the rise and practical success of Bayesian statistics. We argue that the most successful forms of Bayesian statistics do not actually support that particular philosophy but rather accord much better with sophisticated forms of hypothetico-deductivism. We examine the actual role played by prior distributions in Bayesian models, and the crucial aspects of model checking and model revision, which fall outside the scope of Bayesian confirmation theory. We draw on the literature on the consistency of Bayesian updating and also on our experience of applied work in social science. Clarity about these matters should benefit not just philosophy of science, but also statistical practice. At best, the inductivist view has encouraged researchers to fit and compare models without checking them; at worst, theorists have actively discouraged practitioners from performing model checking because it does not fit into their framework. © 2012 The British Psychological Society.

Evidence based medicine: teaching, learning and practice: results of a cross-sectional study from Turkey.

PubMed

Avsar, Ummu Zeynep; Avsar, Umit; Cansever, Zeliha; Acemoglu, Hamit; Cayir, Yasemin; Khan, Abdul Sattar

2014-07-01

To assess the level of understanding related to the significance of evidence-based medicine among physicians. The cross-sectional study was conducted between March and October 2012 using an online questionnaire that was sent out to physicians and academics working as faculty at training hospitals across Turkey. The questionnaire consisted of questions about the knowledge, attitude and behaviour towards evidence-based medicine. Seven of the questions pertained to the learning of evidence-based medicine, six were about teaching evidence-based medicine, and six were about its practice. SPSS 20 was used for statistical analyses. The questionnaire was returned duly filled by 79 physicians. Of them, 41 (51.9%) were males; and 57 (72.2%) were part of the faculty. Only 1(1.2%) participant had attended a course about evidence-based medicine during undergraduate education, while 19 (24.05)had attended one after graduation. Besides, 26 (32.9%) academics were teaching some concepts of evidence-based medicine, and 21 (26.6%) were giving some information about clinical guidelines. The study found that levels of learning and teaching of evidence-based medicine among physicians were inadequate. They should be emphasised at both pre- and post-graduate tiers.

[Applications of the hospital statistics management system].

PubMed

Zhai, Hong; Ren, Yong; Liu, Jing; Li, You-Zhang; Ma, Xiao-Long; Jiao, Tao-Tao

2008-01-01

The Hospital Statistics Management System is built on an Office Automation Platform of Shandong provincial hospital system. Its workflow, role and popedom technologies are used to standardize and optimize the management program of statistics in the total quality control of hospital statistics. The system's applications have combined the office automation platform with the statistics management in a hospital and this provides a practical example of a modern hospital statistics management model.

Nationally Certified School Psychologists' use and reported barriers to using evidence-based interventions in schools: the influence of graduate program training and education.

PubMed

Hicks, Taylor B; Shahidullah, Jeffrey D; Carlson, John S; Palejwala, Mohammed H

2014-12-01

The purpose of this study was to empirically investigate Nationally Certified School Psychologists' (NCSP) training in and use of evidence-based interventions (EBIs) for child behavior concerns as well as their reported implementation barriers. A modified Tailored Design Method (TDM; Dillman, Smyth, & Christian, 2009) using up to four mail-based participant contacts was used to obtain survey data (72% usable response rate; n = 392) from a randomly selected national sample of 548 currently practicing NCSPs. Lack of time was rated as the most serious barrier to behavioral EBI implementation, followed by a lack of necessary resources, and financial constraints. Nearly three-quarters (71%) of respondents reported a perceived inadequacy of graduate program training in behavioral EBIs, with a statistically significant difference found between respondents who attended American Psychological Association (APA)-accredited/National Association of School Psychologists (NASP)-approved programs and those who did not. These findings highlight the significant barriers school psychologists encounter when attempting to implement behavioral EBIs within applied practice, as well as the importance of graduate program training in implementation science. Implications for training, practice, and research are discussed. PsycINFO Database Record (c) 2014 APA, all rights reserved.

Impact of an IEC (Information, Education and Communication) intervention on key family practices of mothers related to child health in Jamshoro, Sindh.

PubMed

Shaikh, Salma; Memon, Shazia; Ahmed, Imran; Amna; Manzoor, Rabia; Shaikh, Saleem

2014-05-01

To determine change in practice of mothers having children less than five years of age in five key areas related to child health, growth and development including immunization, feeding during illness, appropriate home treatment for infections and care seeking behavior. This was a community based interventional study of Information, Education and Communication (IEC) intervention in the UC Jamshoro, Taluka Kotri, district Jamshoro of 15 months duration from March 2011 to June 2012. Ninety five mothers having children less than five years of age were selected by systematic random sampling for house hold based survey by questionnaire designed by EPP evaluation and health section of UNICEF during baseline and post-intervention phases. Base line data was collected from the interventional area then health education messages were given through written and pictorial material by LHWs for 9 months. To measure the impact helath education messages, data was again collected by same questionnaire are from the same union council during post-intervention phase. During baseline survey except immunization all other key family practices were poor. After 9 months of intervention of repeated heath education sessions through LHW during their routine visits all practices were improved with statistically significant difference. Regarding the comparison of the results between baseline and post-intervention surveys we found that except immunization which was already better, all those practices which requires mother's knowledge and practice were improved after our intervention with significant P-values. Improving the mother's education level is very important, to empower the first care provider of child in the community. However, in the mean time, health educational messages related to the limited number of key family practices should be disseminated.

Impact of an IEC (Information, Education and Communication) intervention on key family practices of mothers related to child health in Jamshoro, Sindh

PubMed Central

Shaikh, Salma; Memon, Shazia; Ahmed, Imran; Amna; Manzoor, Rabia; Shaikh, Saleem

2014-01-01

Objective: To determine change in practice of mothers having children less than five years of age in five key areas related to child health, growth and development including immunization, feeding during illness, appropriate home treatment for infections and care seeking behavior. Methods: This was a community based interventional study of Information, Education and Communication (IEC) intervention in the UC Jamshoro, Taluka Kotri, district Jamshoro of 15 months duration from March 2011 to June 2012. Ninety five mothers having children less than five years of age were selected by systematic random sampling for house hold based survey by questionnaire designed by EPP evaluation and health section of UNICEF during baseline and post-intervention phases. Base line data was collected from the interventional area then health education messages were given through written and pictorial material by LHWs for 9 months. To measure the impact helath education messages, data was again collected by same questionnaire are from the same union council during post-intervention phase. Results: During baseline survey except immunization all other key family practices were poor. After 9 months of intervention of repeated heath education sessions through LHW during their routine visits all practices were improved with statistically significant difference. Regarding the comparison of the results between baseline and post-intervention surveys we found that except immunization which was already better, all those practices which requires mother’s knowledge and practice were improved after our intervention with significant P-values. Conclusions: Improving the mother’s education level is very important, to empower the first care provider of child in the community. However, in the mean time, health educational messages related to the limited number of key family practices should be disseminated. PMID:24948990

The motivation of health professionals to explore research evidence in their practice: An intervention study.

PubMed

Henderson, Amanda; Winch, Sarah; Holzhauser, Kerri; De Vries, Sue

2006-12-01

To assess the impact of multifaceted clinically focused educational strategies that concentrated on introducing dementia care research evidence on health professionals' awareness and inclination to use research findings in their future practice. The promise of evidence-based practice is slow to materialize with the limitations of adopting research findings in practice readily identifiable. A pre- and post-test quasi experimental design. The study involved the administration of: a pretest (baseline), an intervention phase, and a post-test survey, the same research utilization survey. TOOL: The Edmonton Research Orientation Survey (EROS), a self-report tool that asks participants about their attitudes toward research and about their potential to use research findings, was used to determine health professionals' orientation to research. The introduction of dementia care research evidence through multifaceted clinically focused educational strategies to improve practice. This was achieved through a resource team comprising a Clinical Nurse Consultant, as a leader and resource of localized evidence-based knowledge in aged care; an experienced Registered Nurse to support the introduction of strategies and a further experienced educator and clinician to reinforce the importance of evidence in change. Across all the four subscales that are measured in the Edmonton Research Orientation Survey, statistical analysis by independent samples t-test identified that there was no significant change between the before and after measurements. Successful integration of changes based on evidence does not necessarily mean that staff become more aware or are more inclined to use research findings in future to address problems.

Cost-Efficient and Multi-Functional Secure Aggregation in Large Scale Distributed Application

PubMed Central

Zhang, Ping; Li, Wenjun; Sun, Hua

2016-01-01

Secure aggregation is an essential component of modern distributed applications and data mining platforms. Aggregated statistical results are typically adopted in constructing a data cube for data analysis at multiple abstraction levels in data warehouse platforms. Generating different types of statistical results efficiently at the same time (or referred to as enabling multi-functional support) is a fundamental requirement in practice. However, most of the existing schemes support a very limited number of statistics. Securely obtaining typical statistical results simultaneously in the distribution system, without recovering the original data, is still an open problem. In this paper, we present SEDAR, which is a SEcure Data Aggregation scheme under the Range segmentation model. Range segmentation model is proposed to reduce the communication cost by capturing the data characteristics, and different range uses different aggregation strategy. For raw data in the dominant range, SEDAR encodes them into well defined vectors to provide value-preservation and order-preservation, and thus provides the basis for multi-functional aggregation. A homomorphic encryption scheme is used to achieve data privacy. We also present two enhanced versions. The first one is a Random based SEDAR (REDAR), and the second is a Compression based SEDAR (CEDAR). Both of them can significantly reduce communication cost with the trade-off lower security and lower accuracy, respectively. Experimental evaluations, based on six different scenes of real data, show that all of them have an excellent performance on cost and accuracy. PMID:27551747

Uniting statistical and individual-based approaches for animal movement modelling.

PubMed

Latombe, Guillaume; Parrott, Lael; Basille, Mathieu; Fortin, Daniel

2014-01-01

The dynamic nature of their internal states and the environment directly shape animals' spatial behaviours and give rise to emergent properties at broader scales in natural systems. However, integrating these dynamic features into habitat selection studies remains challenging, due to practically impossible field work to access internal states and the inability of current statistical models to produce dynamic outputs. To address these issues, we developed a robust method, which combines statistical and individual-based modelling. Using a statistical technique for forward modelling of the IBM has the advantage of being faster for parameterization than a pure inverse modelling technique and allows for robust selection of parameters. Using GPS locations from caribou monitored in Québec, caribou movements were modelled based on generative mechanisms accounting for dynamic variables at a low level of emergence. These variables were accessed by replicating real individuals' movements in parallel sub-models, and movement parameters were then empirically parameterized using Step Selection Functions. The final IBM model was validated using both k-fold cross-validation and emergent patterns validation and was tested for two different scenarios, with varying hardwood encroachment. Our results highlighted a functional response in habitat selection, which suggests that our method was able to capture the complexity of the natural system, and adequately provided projections on future possible states of the system in response to different management plans. This is especially relevant for testing the long-term impact of scenarios corresponding to environmental configurations that have yet to be observed in real systems.

Uniting Statistical and Individual-Based Approaches for Animal Movement Modelling

PubMed Central

Latombe, Guillaume; Parrott, Lael; Basille, Mathieu; Fortin, Daniel

2014-01-01

The dynamic nature of their internal states and the environment directly shape animals' spatial behaviours and give rise to emergent properties at broader scales in natural systems. However, integrating these dynamic features into habitat selection studies remains challenging, due to practically impossible field work to access internal states and the inability of current statistical models to produce dynamic outputs. To address these issues, we developed a robust method, which combines statistical and individual-based modelling. Using a statistical technique for forward modelling of the IBM has the advantage of being faster for parameterization than a pure inverse modelling technique and allows for robust selection of parameters. Using GPS locations from caribou monitored in Québec, caribou movements were modelled based on generative mechanisms accounting for dynamic variables at a low level of emergence. These variables were accessed by replicating real individuals' movements in parallel sub-models, and movement parameters were then empirically parameterized using Step Selection Functions. The final IBM model was validated using both k-fold cross-validation and emergent patterns validation and was tested for two different scenarios, with varying hardwood encroachment. Our results highlighted a functional response in habitat selection, which suggests that our method was able to capture the complexity of the natural system, and adequately provided projections on future possible states of the system in response to different management plans. This is especially relevant for testing the long-term impact of scenarios corresponding to environmental configurations that have yet to be observed in real systems. PMID:24979047

Cost-Efficient and Multi-Functional Secure Aggregation in Large Scale Distributed Application.

PubMed

Zhang, Ping; Li, Wenjun; Sun, Hua

2016-01-01

Secure aggregation is an essential component of modern distributed applications and data mining platforms. Aggregated statistical results are typically adopted in constructing a data cube for data analysis at multiple abstraction levels in data warehouse platforms. Generating different types of statistical results efficiently at the same time (or referred to as enabling multi-functional support) is a fundamental requirement in practice. However, most of the existing schemes support a very limited number of statistics. Securely obtaining typical statistical results simultaneously in the distribution system, without recovering the original data, is still an open problem. In this paper, we present SEDAR, which is a SEcure Data Aggregation scheme under the Range segmentation model. Range segmentation model is proposed to reduce the communication cost by capturing the data characteristics, and different range uses different aggregation strategy. For raw data in the dominant range, SEDAR encodes them into well defined vectors to provide value-preservation and order-preservation, and thus provides the basis for multi-functional aggregation. A homomorphic encryption scheme is used to achieve data privacy. We also present two enhanced versions. The first one is a Random based SEDAR (REDAR), and the second is a Compression based SEDAR (CEDAR). Both of them can significantly reduce communication cost with the trade-off lower security and lower accuracy, respectively. Experimental evaluations, based on six different scenes of real data, show that all of them have an excellent performance on cost and accuracy.

Multivariate assessment of event-related potentials with the t-CWT method.

PubMed

Bostanov, Vladimir

2015-11-05

Event-related brain potentials (ERPs) are usually assessed with univariate statistical tests although they are essentially multivariate objects. Brain-computer interface applications are a notable exception to this practice, because they are based on multivariate classification of single-trial ERPs. Multivariate ERP assessment can be facilitated by feature extraction methods. One such method is t-CWT, a mathematical-statistical algorithm based on the continuous wavelet transform (CWT) and Student's t-test. This article begins with a geometric primer on some basic concepts of multivariate statistics as applied to ERP assessment in general and to the t-CWT method in particular. Further, it presents for the first time a detailed, step-by-step, formal mathematical description of the t-CWT algorithm. A new multivariate outlier rejection procedure based on principal component analysis in the frequency domain is presented as an important pre-processing step. The MATLAB and GNU Octave implementation of t-CWT is also made publicly available for the first time as free and open source code. The method is demonstrated on some example ERP data obtained in a passive oddball paradigm. Finally, some conceptually novel applications of the multivariate approach in general and of the t-CWT method in particular are suggested and discussed. Hopefully, the publication of both the t-CWT source code and its underlying mathematical algorithm along with a didactic geometric introduction to some basic concepts of multivariate statistics would make t-CWT more accessible to both users and developers in the field of neuroscience research.

Changing personnel behavior to promote quality care practices in an intensive care unit

PubMed Central

Cooper, Dominic; Farmery, Keith; Johnson, Martin; Harper, Christine; Clarke, Fiona L; Holton, Phillip; Wilson, Susan; Rayson, Paul; Bence, Hugh

2005-01-01

The delivery of safe high quality patient care is a major issue in clinical settings. However, the implementation of evidence-based practice and educational interventions are not always effective at improving performance. A staff-led behavioral management process was implemented in a large single-site acute (secondary and tertiary) hospital in the North of England for 26 weeks. A quasi-experimental, repeated-measures, within-groups design was used. Measurement focused on quality care behaviors (ie, documentation, charting, hand washing). The results demonstrate the efficacy of a staff-led behavioral management approach for improving quality-care practices. Significant behavioral change (F [6, 19] = 5.37, p < 0.01) was observed. Correspondingly, statistically significant (t-test [t] = 3.49, df = 25, p < 0.01) reductions in methicillin-resistant Staphylococcus aureus (MRSA) were obtained. Discussion focuses on implementation issues. PMID:18360574

Ayurpharmacoepidemiology Perspective

PubMed Central

Debnath, Parikshit; Natasha, Khurshid; Ali, Liaquat; Bhaduri, Tapas; Roy, Tushar Kanti; Bera, Sayantan; Mukherjee, Debdeep; Debnath, Swati

2016-01-01

Older Indian diabetics lack proper health literacy making them vulnerable to complications. Assessment of health literacy was done by hospital-based cross-sectional study. Face-to-face interview was conducted by pretested structured questionnaires. Diabetes patients aged ≥60 years consisted of 56.22% males and 43.78% females; in addition, 34.2% respondents were without formal schooling. Diabetes was known to 63.56% respondents. Total knowledge and practice score of the respondents was good (18.9% and 35.1%), average (30.7% and 46.9%), and poor (50.4% and 18%), respectively. Knowledge and practice score was strongly associated (P < .01) with religion, educational status, and diabetes duration with positive relationship (R 2 = 0.247, P < .01) between knowledge and practice score. The study highlights lack of health literacy among older diabetics undergoing ayurveda management. Baseline statistics will pave the way toward ayurpharmacoepidemiology. PMID:27074784

A Unifying Framework for Teaching Nonparametric Statistical Tests

ERIC Educational Resources Information Center

Bargagliotti, Anna E.; Orrison, Michael E.

2014-01-01

Increased importance is being placed on statistics at both the K-12 and undergraduate level. Research divulging effective methods to teach specific statistical concepts is still widely sought after. In this paper, we focus on best practices for teaching topics in nonparametric statistics at the undergraduate level. To motivate the work, we…

The implementation of best practice in medication administration across a health network: a multisite evidence-based audit and feedback project.

PubMed

Munn, Zachary; Scarborough, Alan; Pearce, Susanne; McArthur, Alexa; Kavanagh, Sheila; Girdler, Michelle; Stefan-Rasmus, Bernie; Breen, Helen; Farquhar, Shirley; Li, Jessie; Hutchinson, Steven; Stephenson, Matthew; McBeth, Helen; Kitson, Alison

2015-09-16

Medication errors present a significant risk to patient safety. The "rights" of medication administration represent one approach to potentially reducing this risk. The aim of this project was to implement an evidence-based audit and feedback project to improve compliance with best practice in this area across a health network. A baseline audit was conducted to determine compliance with evidence-based standards by trained observers. The results of this audit were analysed and fed back to staff. An analysis of barriers to compliance was undertaken by key staff within the organization, which was followed by the implementation of targeted strategies to improve compliance. A follow-up audit was conducted and the results compared to the baseline audit. There were improvements in the percentage of compliance across all of the eight criteria audited, with statistically significant improvements found in six of the eight. In general, compliance with the criteria was high in both the baseline and follow-up audits. This audit and feedback implementation project was successful in increasing compliance and knowledge in this area and providing future direction for sustaining evidence-based practice change. It is now planned to use this approach for rolling out future implementation projects within this health system. The Joanna Briggs Institute.

Using statistical process control for monitoring the prevalence of hospital-acquired pressure ulcers.

PubMed

Kottner, Jan; Halfens, Ruud

2010-05-01

Institutionally acquired pressure ulcers are used as outcome indicators to assess the quality of pressure ulcer prevention programs. Determining whether quality improvement projects that aim to decrease the proportions of institutionally acquired pressure ulcers lead to real changes in clinical practice depends on the measurement method and statistical analysis used. To examine whether nosocomial pressure ulcer prevalence rates in hospitals in the Netherlands changed, a secondary data analysis using different statistical approaches was conducted of annual (1998-2008) nationwide nursing-sensitive health problem prevalence studies in the Netherlands. Institutions that participated regularly in all survey years were identified. Risk-adjusted nosocomial pressure ulcers prevalence rates, grade 2 to 4 (European Pressure Ulcer Advisory Panel system) were calculated per year and hospital. Descriptive statistics, chi-square trend tests, and P charts based on statistical process control (SPC) were applied and compared. Six of the 905 healthcare institutions participated in every survey year and 11,444 patients in these six hospitals were identified as being at risk for pressure ulcers. Prevalence rates per year ranged from 0.05 to 0.22. Chi-square trend tests revealed statistically significant downward trends in four hospitals but based on SPC methods, prevalence rates of five hospitals varied by chance only. Results of chi-square trend tests and SPC methods were not comparable, making it impossible to decide which approach is more appropriate. P charts provide more valuable information than single P values and are more helpful for monitoring institutional performance. Empirical evidence about the decrease of nosocomial pressure ulcer prevalence rates in the Netherlands is contradictory and limited.

Pseudo-Boltzmann model for modeling the junctionless transistors

NASA Astrophysics Data System (ADS)

Avila-Herrera, F.; Cerdeira, A.; Roldan, J. B.; Sánchez-Moreno, P.; Tienda-Luna, I. M.; Iñiguez, B.

2014-05-01

Calculation of the carrier concentrations in semiconductors using the Fermi-Dirac integral requires complex numerical calculations; in this context, practically all analytical device models are based on Boltzmann statistics, even though it is known that it leads to an over-estimation of carriers densities for high doping concentrations. In this paper, a new approximation to Fermi-Dirac integral, called Pseudo-Boltzmann model, is presented for modeling junctionless transistors with high doping concentrations.

U.S. Marine Corps Communication-Electronics School Training Process: Discrete-Event Simulation and Lean Options

DTIC Science & Technology

2007-12-01

acknowledged that Continuous Improvement (CI), or Kaizen in Japanese, is practiced in some way, shape, or form by most if not all Fortune 500 companies...greater resistance in the individualistic U.S. culture. Kaizen generally involves methodical examination and testing, followed by the adoption of new...or streamlined procedures, including scrupulous measurement and changes based on statistical deviation formulas. Kaizen appears to be a perfect fit

The Importance of Practice in the Development of Statistics.

DTIC Science & Technology

1983-01-01

RESOLUTION TEST CHART NATIONAL BUREAU OIF STANDARDS 1963 -A NRC Technical Summary Report #2471 C THE IMORTANCE OF PRACTICE IN to THE DEVELOPMENT OF STATISTICS...component analysis, bioassay, limits for a ratio, quality control, sampling inspection, non-parametric tests , transformation theory, ARIMA time series...models, sequential tests , cumulative sum charts, data analysis plotting techniques, and a resolution of the Bayes - frequentist controversy. It appears

Optometric Manpower: Characteristics of Optometric Practice, United States--1968. Vital and Health Statistics, Series 14, No. 13.

ERIC Educational Resources Information Center

National Center for Health Statistics (DHEW/PHS), Hyattsville, MD.

The report is the second describing the findings of a national survey of manpower in the eye care occupations in 1968 and 1969. It contains primarily 27 statistical tables dealing with specific features of the optometric practice: the number and percentage distribution of optometrists by the number of patient visits per week (tables 1-3); the…

Bayesian inference for psychology. Part II: Example applications with JASP.

PubMed

Wagenmakers, Eric-Jan; Love, Jonathon; Marsman, Maarten; Jamil, Tahira; Ly, Alexander; Verhagen, Josine; Selker, Ravi; Gronau, Quentin F; Dropmann, Damian; Boutin, Bruno; Meerhoff, Frans; Knight, Patrick; Raj, Akash; van Kesteren, Erik-Jan; van Doorn, Johnny; Šmíra, Martin; Epskamp, Sacha; Etz, Alexander; Matzke, Dora; de Jong, Tim; van den Bergh, Don; Sarafoglou, Alexandra; Steingroever, Helen; Derks, Koen; Rouder, Jeffrey N; Morey, Richard D

2018-02-01

Bayesian hypothesis testing presents an attractive alternative to p value hypothesis testing. Part I of this series outlined several advantages of Bayesian hypothesis testing, including the ability to quantify evidence and the ability to monitor and update this evidence as data come in, without the need to know the intention with which the data were collected. Despite these and other practical advantages, Bayesian hypothesis tests are still reported relatively rarely. An important impediment to the widespread adoption of Bayesian tests is arguably the lack of user-friendly software for the run-of-the-mill statistical problems that confront psychologists for the analysis of almost every experiment: the t-test, ANOVA, correlation, regression, and contingency tables. In Part II of this series we introduce JASP ( http://www.jasp-stats.org ), an open-source, cross-platform, user-friendly graphical software package that allows users to carry out Bayesian hypothesis tests for standard statistical problems. JASP is based in part on the Bayesian analyses implemented in Morey and Rouder's BayesFactor package for R. Armed with JASP, the practical advantages of Bayesian hypothesis testing are only a mouse click away.

When decision heuristics and science collide.

PubMed

Yu, Erica C; Sprenger, Amber M; Thomas, Rick P; Dougherty, Michael R

2014-04-01

The ongoing discussion among scientists about null-hypothesis significance testing and Bayesian data analysis has led to speculation about the practices and consequences of "researcher degrees of freedom." This article advances this debate by asking the broader questions that we, as scientists, should be asking: How do scientists make decisions in the course of doing research, and what is the impact of these decisions on scientific conclusions? We asked practicing scientists to collect data in a simulated research environment, and our findings show that some scientists use data collection heuristics that deviate from prescribed methodology. Monte Carlo simulations show that data collection heuristics based on p values lead to biases in estimated effect sizes and Bayes factors and to increases in both false-positive and false-negative rates, depending on the specific heuristic. We also show that using Bayesian data collection methods does not eliminate these biases. Thus, our study highlights the little appreciated fact that the process of doing science is a behavioral endeavor that can bias statistical description and inference in a manner that transcends adherence to any particular statistical framework.

Health care research by degrees N Reid Health care research by degrees Blackwell Scientific 162pp £13.99 0632-03466-1 [Formula: see text].

PubMed

1993-03-03

Inadequately understood statistics so often cloud both the argument of the researcher and the judgement of the reader. Norma Reid brings a refreshing clarity to a complex topic; she takes the mystification and mystique out of statistics. Her basic premiss that theory ought to be based on practical utility and relevance shines through her text and helps to make the subject accessible co clinicians who want to understand the underpinnings of their practice. Research methods, particularly qualitative approaches, are sketchily dealt with when compared with the wealth of detail on the mechanics of computing. Also, it is awkward to find methods and analysis not clearly separated in places (eg, Delphi studies), but ample references direct the reader to more expansive sources. Any attempt to steer the uninitiated through the minefields of computing is fraught with difficulties, and some will be disappointed to find one system used exclusively, but, perhaps, it serves as an illustration rather than a course to be slavishly followed.

Developing an industry-oriented safety curriculum using the Delphi technique.

PubMed

Chen, Der-Fa; Wu, Tsung-Chih; Chen, Chi-Hsiang; Chang, Shu-Hsuan; Yao, Kai-Chao; Liao, Chin-Wen

2016-09-01

In this study, we examined the development of industry-oriented safety degree curricula at a college level. Based on a review of literature on the practices and study of the development of safety curricula, we classified occupational safety and health curricula into the following three domains: safety engineering, health engineering, and safety and health management. We invited 44 safety professionals to complete a four-round survey that was designed using a modified Delphi technique. We used Chi-square statistics to test the panel experts' consensus on the significance of the items in the three domains and employed descriptive statistics to rank the participants' rating of each item. The results showed that the top three items for each of the three domains were Risk Assessment, Dangerous Machinery and Equipment, and Fire and Explosion Prevention for safety engineering; Ergonomics, Industrial Toxicology, and Health Risk Assessment for health engineering; and Industrial Safety and Health Regulations, Accident Investigation and Analysis, and Emergency Response for safety and health management. Only graduates from safety programmes who possess practical industry-oriented abilities can satisfy industry demands and provide value to the existence of college safety programmes.

A knowledge-based T2-statistic to perform pathway analysis for quantitative proteomic data

PubMed Central

Chen, Yi-Hau

2017-01-01

Approaches to identify significant pathways from high-throughput quantitative data have been developed in recent years. Still, the analysis of proteomic data stays difficult because of limited sample size. This limitation also leads to the practice of using a competitive null as common approach; which fundamentally implies genes or proteins as independent units. The independent assumption ignores the associations among biomolecules with similar functions or cellular localization, as well as the interactions among them manifested as changes in expression ratios. Consequently, these methods often underestimate the associations among biomolecules and cause false positives in practice. Some studies incorporate the sample covariance matrix into the calculation to address this issue. However, sample covariance may not be a precise estimation if the sample size is very limited, which is usually the case for the data produced by mass spectrometry. In this study, we introduce a multivariate test under a self-contained null to perform pathway analysis for quantitative proteomic data. The covariance matrix used in the test statistic is constructed by the confidence scores retrieved from the STRING database or the HitPredict database. We also design an integrating procedure to retain pathways of sufficient evidence as a pathway group. The performance of the proposed T2-statistic is demonstrated using five published experimental datasets: the T-cell activation, the cAMP/PKA signaling, the myoblast differentiation, and the effect of dasatinib on the BCR-ABL pathway are proteomic datasets produced by mass spectrometry; and the protective effect of myocilin via the MAPK signaling pathway is a gene expression dataset of limited sample size. Compared with other popular statistics, the proposed T2-statistic yields more accurate descriptions in agreement with the discussion of the original publication. We implemented the T2-statistic into an R package T2GA, which is available at https://github.com/roqe/T2GA. PMID:28622336

A knowledge-based T2-statistic to perform pathway analysis for quantitative proteomic data.

PubMed

Lai, En-Yu; Chen, Yi-Hau; Wu, Kun-Pin

2017-06-01

Approaches to identify significant pathways from high-throughput quantitative data have been developed in recent years. Still, the analysis of proteomic data stays difficult because of limited sample size. This limitation also leads to the practice of using a competitive null as common approach; which fundamentally implies genes or proteins as independent units. The independent assumption ignores the associations among biomolecules with similar functions or cellular localization, as well as the interactions among them manifested as changes in expression ratios. Consequently, these methods often underestimate the associations among biomolecules and cause false positives in practice. Some studies incorporate the sample covariance matrix into the calculation to address this issue. However, sample covariance may not be a precise estimation if the sample size is very limited, which is usually the case for the data produced by mass spectrometry. In this study, we introduce a multivariate test under a self-contained null to perform pathway analysis for quantitative proteomic data. The covariance matrix used in the test statistic is constructed by the confidence scores retrieved from the STRING database or the HitPredict database. We also design an integrating procedure to retain pathways of sufficient evidence as a pathway group. The performance of the proposed T2-statistic is demonstrated using five published experimental datasets: the T-cell activation, the cAMP/PKA signaling, the myoblast differentiation, and the effect of dasatinib on the BCR-ABL pathway are proteomic datasets produced by mass spectrometry; and the protective effect of myocilin via the MAPK signaling pathway is a gene expression dataset of limited sample size. Compared with other popular statistics, the proposed T2-statistic yields more accurate descriptions in agreement with the discussion of the original publication. We implemented the T2-statistic into an R package T2GA, which is available at https://github.com/roqe/T2GA.

Robust Strategy for Rocket Engine Health Monitoring

NASA Technical Reports Server (NTRS)

Santi, L. Michael

2001-01-01

Monitoring the health of rocket engine systems is essentially a two-phase process. The acquisition phase involves sensing physical conditions at selected locations, converting physical inputs to electrical signals, conditioning the signals as appropriate to establish scale or filter interference, and recording results in a form that is easy to interpret. The inference phase involves analysis of results from the acquisition phase, comparison of analysis results to established health measures, and assessment of health indications. A variety of analytical tools may be employed in the inference phase of health monitoring. These tools can be separated into three broad categories: statistical, rule based, and model based. Statistical methods can provide excellent comparative measures of engine operating health. They require well-characterized data from an ensemble of "typical" engines, or "golden" data from a specific test assumed to define the operating norm in order to establish reliable comparative measures. Statistical methods are generally suitable for real-time health monitoring because they do not deal with the physical complexities of engine operation. The utility of statistical methods in rocket engine health monitoring is hindered by practical limits on the quantity and quality of available data. This is due to the difficulty and high cost of data acquisition, the limited number of available test engines, and the problem of simulating flight conditions in ground test facilities. In addition, statistical methods incur a penalty for disregarding flow complexity and are therefore limited in their ability to define performance shift causality. Rule based methods infer the health state of the engine system based on comparison of individual measurements or combinations of measurements with defined health norms or rules. This does not mean that rule based methods are necessarily simple. Although binary yes-no health assessment can sometimes be established by relatively simple rules, the causality assignment needed for refined health monitoring often requires an exceptionally complex rule base involving complicated logical maps. Structuring the rule system to be clear and unambiguous can be difficult, and the expert input required to maintain a large logic network and associated rule base can be prohibitive.

Statistical iterative material image reconstruction for spectral CT using a semi-empirical forward model

NASA Astrophysics Data System (ADS)

Mechlem, Korbinian; Ehn, Sebastian; Sellerer, Thorsten; Pfeiffer, Franz; Noël, Peter B.

2017-03-01

In spectral computed tomography (spectral CT), the additional information about the energy dependence of attenuation coefficients can be exploited to generate material selective images. These images have found applications in various areas such as artifact reduction, quantitative imaging or clinical diagnosis. However, significant noise amplification on material decomposed images remains a fundamental problem of spectral CT. Most spectral CT algorithms separate the process of material decomposition and image reconstruction. Separating these steps is suboptimal because the full statistical information contained in the spectral tomographic measurements cannot be exploited. Statistical iterative reconstruction (SIR) techniques provide an alternative, mathematically elegant approach to obtaining material selective images with improved tradeoffs between noise and resolution. Furthermore, image reconstruction and material decomposition can be performed jointly. This is accomplished by a forward model which directly connects the (expected) spectral projection measurements and the material selective images. To obtain this forward model, detailed knowledge of the different photon energy spectra and the detector response was assumed in previous work. However, accurately determining the spectrum is often difficult in practice. In this work, a new algorithm for statistical iterative material decomposition is presented. It uses a semi-empirical forward model which relies on simple calibration measurements. Furthermore, an efficient optimization algorithm based on separable surrogate functions is employed. This partially negates one of the major shortcomings of SIR, namely high computational cost and long reconstruction times. Numerical simulations and real experiments show strongly improved image quality and reduced statistical bias compared to projection-based material decomposition.

Fisher, Neyman, and Bayes at FDA.

PubMed

Rubin, Donald B

2016-01-01

The wise use of statistical ideas in practice essentially requires some Bayesian thinking, in contrast to the classical rigid frequentist dogma. This dogma too often has seemed to influence the applications of statistics, even at agencies like the FDA. Greg Campbell was one of the most important advocates there for more nuanced modes of thought, especially Bayesian statistics. Because two brilliant statisticians, Ronald Fisher and Jerzy Neyman, are often credited with instilling the traditional frequentist approach in current practice, I argue that both men were actually seeking very Bayesian answers, and neither would have endorsed the rigid application of their ideas.

Assessing Attitudes towards Statistics among Medical Students: Psychometric Properties of the Serbian Version of the Survey of Attitudes Towards Statistics (SATS)

PubMed Central

Stanisavljevic, Dejana; Trajkovic, Goran; Marinkovic, Jelena; Bukumiric, Zoran; Cirkovic, Andja; Milic, Natasa

2014-01-01

Background Medical statistics has become important and relevant for future doctors, enabling them to practice evidence based medicine. Recent studies report that students’ attitudes towards statistics play an important role in their statistics achievements. The aim of the study was to test the psychometric properties of the Serbian version of the Survey of Attitudes Towards Statistics (SATS) in order to acquire a valid instrument to measure attitudes inside the Serbian educational context. Methods The validation study was performed on a cohort of 417 medical students who were enrolled in an obligatory introductory statistics course. The SATS adaptation was based on an internationally accepted methodology for translation and cultural adaptation. Psychometric properties of the Serbian version of the SATS were analyzed through the examination of factorial structure and internal consistency. Results Most medical students held positive attitudes towards statistics. The average total SATS score was above neutral (4.3±0.8), and varied from 1.9 to 6.2. Confirmatory factor analysis validated the six-factor structure of the questionnaire (Affect, Cognitive Competence, Value, Difficulty, Interest and Effort). Values for fit indices TLI (0.940) and CFI (0.961) were above the cut-off of ≥0.90. The RMSEA value of 0.064 (0.051–0.078) was below the suggested value of ≤0.08. Cronbach’s alpha of the entire scale was 0.90, indicating scale reliability. In a multivariate regression model, self-rating of ability in mathematics and current grade point average were significantly associated with the total SATS score after adjusting for age and gender. Conclusion Present study provided the evidence for the appropriate metric properties of the Serbian version of SATS. Confirmatory factor analysis validated the six-factor structure of the scale. The SATS might be reliable and a valid instrument for identifying medical students’ attitudes towards statistics in the Serbian educational context. PMID:25405489

Assessing attitudes towards statistics among medical students: psychometric properties of the Serbian version of the Survey of Attitudes Towards Statistics (SATS).

PubMed

Stanisavljevic, Dejana; Trajkovic, Goran; Marinkovic, Jelena; Bukumiric, Zoran; Cirkovic, Andja; Milic, Natasa

2014-01-01

Medical statistics has become important and relevant for future doctors, enabling them to practice evidence based medicine. Recent studies report that students' attitudes towards statistics play an important role in their statistics achievements. The aim of the study was to test the psychometric properties of the Serbian version of the Survey of Attitudes Towards Statistics (SATS) in order to acquire a valid instrument to measure attitudes inside the Serbian educational context. The validation study was performed on a cohort of 417 medical students who were enrolled in an obligatory introductory statistics course. The SATS adaptation was based on an internationally accepted methodology for translation and cultural adaptation. Psychometric properties of the Serbian version of the SATS were analyzed through the examination of factorial structure and internal consistency. Most medical students held positive attitudes towards statistics. The average total SATS score was above neutral (4.3±0.8), and varied from 1.9 to 6.2. Confirmatory factor analysis validated the six-factor structure of the questionnaire (Affect, Cognitive Competence, Value, Difficulty, Interest and Effort). Values for fit indices TLI (0.940) and CFI (0.961) were above the cut-off of ≥0.90. The RMSEA value of 0.064 (0.051-0.078) was below the suggested value of ≤0.08. Cronbach's alpha of the entire scale was 0.90, indicating scale reliability. In a multivariate regression model, self-rating of ability in mathematics and current grade point average were significantly associated with the total SATS score after adjusting for age and gender. Present study provided the evidence for the appropriate metric properties of the Serbian version of SATS. Confirmatory factor analysis validated the six-factor structure of the scale. The SATS might be reliable and a valid instrument for identifying medical students' attitudes towards statistics in the Serbian educational context.

[Effects of Self-directed Feedback Practice using Smartphone Videos on Basic Nursing Skills, Confidence in Performance and Learning Satisfaction].

PubMed

Lee, Seul Gi; Shin, Yun Hee

2016-04-01

This study was done to verify effects of a self-directed feedback practice using smartphone videos on nursing students' basic nursing skills, confidence in performance and learning satisfaction. In this study an experimental study with a post-test only control group design was used. Twenty-nine students were assigned to the experimental group and 29 to the control group. Experimental treatment was exchanging feedback on deficiencies through smartphone recorded videos of nursing practice process taken by peers during self-directed practice. Basic nursing skills scores were higher for all items in the experimental group compared to the control group, and differences were statistically significant ["Measuring vital signs" (t=-2.10, p=.039); "Wearing protective equipment when entering and exiting the quarantine room and the management of waste materials" (t=-4.74, p<.001) "Gavage tube feeding" (t=-2.70, p=.009)]. Confidence in performance was higher in the experimental group compared to the control group, but the differences were not statistically significant. However, after the complete practice, there was a statistically significant difference in overall performance confidence (t=-3.07. p=.003). Learning satisfaction was higher in the experimental group compared to the control group, but the difference was not statistically significant (t=-1.67, p=.100). Results of this study indicate that self-directed feedback practice using smartphone videos can improve basic nursing skills. The significance is that it can help nursing students gain confidence in their nursing skills for the future through improvement of basic nursing skills and performance of quality care, thus providing patients with safer care.

ENGAGE: Guided Activity-Based Gaming in Neurorehabilitation after Stroke: A Pilot Study

PubMed Central

Reinthal, Ann; Szirony, Kathy; Clark, Cindy; Swiers, Jeffrey; Kellicker, Michelle; Linder, Susan

2012-01-01

Introduction. Stroke is a leading cause of disability in healthy adults. The purpose of this pilot study was to assess the feasibility and outcomes of a novel video gaming repetitive practice paradigm, (ENGAGE) enhanced neurorehabilitation: guided activity-based gaming exercise. Methods. Sixteen individuals at least three months after stroke served as participants. All participants received concurrent outpatient therapy or took part in a stroke exercise class and completed at least 500 minutes of gaming. Primary baseline and posttest outcome measures included the Wolf motor function test (WMFT) and the Fugl-Meyer assessment (FMA). ENGAGE uses a game selection algorithm providing focused, graded activity-based repetitive practice that is highly individualized and directed. The Wilcoxon signed ranks test was used to determine statistical significance. Results. There were improvements in the WMFT (P = 0.003) and the FMA (P = 0.002) that exceeded established values of minimal clinically important difference. Conclusions. ENGAGE was feasible and an effective adjunct to concurrent therapy after stroke. PMID:22593835

On computations of variance, covariance and correlation for interval data

NASA Astrophysics Data System (ADS)

Kishida, Masako

2017-02-01

In many practical situations, the data on which statistical analysis is to be performed is only known with interval uncertainty. Different combinations of values from the interval data usually lead to different values of variance, covariance, and correlation. Hence, it is desirable to compute the endpoints of possible values of these statistics. This problem is, however, NP-hard in general. This paper shows that the problem of computing the endpoints of possible values of these statistics can be rewritten as the problem of computing skewed structured singular values ν, for which there exist feasible (polynomial-time) algorithms that compute reasonably tight bounds in most practical cases. This allows one to find tight intervals of the aforementioned statistics for interval data.

National survey on the practice of radiation therapists in Australia.

PubMed

Sale, Charlotte; Halkett, Georgia; Cox, Jenny

2016-06-01

Radiation therapy (RT), like many allied health professions, has lacked professional practice clarity, which until 2008 had not been comprehensively investigated. This manuscript describes the first phase of a three-phase project investigating the current and future practices of radiation therapists (RTs) in Australia. The aim of phase 1 was to define the practice of RTs in Australia. A quantitative approach was used to gain an understanding of RT practice. A national survey was distributed to RTs in Australia. Descriptive statistics and content analysis were used to analyse the data. RT practice was analysed in relation to core and non-core roles, where non-core roles were further divided into basic and advanced practices. The data from the national survey were representative of the Australian RT population (n = 525). The current practice of RTs is presented in summary tables for each area of work (treatment, planning, simulation, mould room and general). This study provided clarification of RT practice and indicated there was a desire to relinquish administrative roles to focus on RT-specific practice. There was evidence that some advanced roles were currently practiced in Australia; however, there was no structure to support these roles and they were based only on local need. This study identified that the profession needs to consider how they will maintain core RT practice, while encouraging the development of new roles, and whether some roles need to be relinquished.

Efforts to improve international migration statistics: a historical perspective.

PubMed

Kraly, E P; Gnanasekaran, K S

1987-01-01

During the past decade, the international statistical community has made several efforts to develop standards for the definition, collection and publication of statistics on international migration. This article surveys the history of official initiatives to standardize international migration statistics by reviewing the recommendations of the International Statistical Institute, International Labor Organization, and the UN, and reports a recently proposed agenda for moving toward comparability among national statistical systems. Heightening awareness of the benefits of exchange and creating motivation to implement international standards requires a 3-pronged effort from the international statistical community. 1st, it is essential to continue discussion about the significance of improvement, specifically standardization, of international migration statistics. The move from theory to practice in this area requires ongoing focus by migration statisticians so that conformity to international standards itself becomes a criterion by which national statistical practices are examined and assessed. 2nd, the countries should be provided with technical documentation to support and facilitate the implementation of the recommended statistical systems. Documentation should be developed with an understanding that conformity to international standards for migration and travel statistics must be achieved within existing national statistical programs. 3rd, the call for statistical research in this area requires more efforts by the community of migration statisticians, beginning with the mobilization of bilateral and multilateral resources to undertake the preceding list of activities.

[The main directions of reforming the service of medical statistics in Ukraine].

PubMed

Golubchykov, Mykhailo V; Orlova, Nataliia M; Bielikova, Inna V

2018-01-01

Introduction: Implementation of new methods of information support of managerial decision-making should ensure of the effective health system reform and create conditions for improving the quality of operational management, reasonable planning of medical care and increasing the efficiency of the use of system resources. Reforming of Medical Statistics Service of Ukraine should be considered only in the context of the reform of the entire health system. The aim: This work is an analysis of the current situation and justification of the main directions of reforming of Medical Statistics Service of Ukraine. Material and methods: In the work is used a range of methods: content analysis, bibliosemantic, systematic approach. The information base of the research became: WHO strategic and program documents, data of the Medical Statistics Center of the Ministry of Health of Ukraine. Review: The Medical Statistics Service of Ukraine has a completed and effective structure, headed by the State Institution "Medical Statistics Center of the Ministry of Health of Ukraine." This institution reports on behalf of the Ministry of Health of Ukraine to the State Statistical Service of Ukraine, the WHO European Office and other international organizations. An analysis of the current situation showed that to achieve this goal it is necessary: to improve the system of statistical indicators for an adequate assessment of the performance of health institutions, including in the economic aspect; creation of a developed medical and statistical base of administrative territories; change of existing technologies for the formation of information resources; strengthening the material-technical base of the structural units of Medical Statistics Service; improvement of the system of training and retraining of personnel for the service of medical statistics; development of international cooperation in the field of methodology and practice of medical statistics, implementation of internationally accepted methods for collecting, processing, analyzing and disseminating medical and statistical information; the creation of a medical and statistical service that adapted to the specifics of market relations in health care, flexible and sensitive to changes in international methodologies and standards. Conclusions: The data of medical statistics are the basis for taking managerial decisions by managers at all levels of health care. Reform of Medical Statistics Service of Ukraine should be considered only in the context of the reform of the entire health system. The main directions of the reform of the medical statistics service in Ukraine are: the introduction of information technologies, the improvement of the training of personnel for the service, the improvement of material and technical equipment, the maximum reuse of the data obtained, which provides for the unification of primary data and a system of indicators. The most difficult area is the formation of information funds and the introduction of modern information technologies.

[The main directions of reforming the service of medical statistics in Ukraine].

PubMed

Golubchykov, Mykhailo V; Orlova, Nataliia M; Bielikova, Inna V

Introduction: Implementation of new methods of information support of managerial decision-making should ensure of the effective health system reform and create conditions for improving the quality of operational management, reasonable planning of medical care and increasing the efficiency of the use of system resources. Reforming of Medical Statistics Service of Ukraine should be considered only in the context of the reform of the entire health system. The aim: This work is an analysis of the current situation and justification of the main directions of reforming of Medical Statistics Service of Ukraine. Material and methods: In the work is used a range of methods: content analysis, bibliosemantic, systematic approach. The information base of the research became: WHO strategic and program documents, data of the Medical Statistics Center of the Ministry of Health of Ukraine. Review: The Medical Statistics Service of Ukraine has a completed and effective structure, headed by the State Institution "Medical Statistics Center of the Ministry of Health of Ukraine." This institution reports on behalf of the Ministry of Health of Ukraine to the State Statistical Service of Ukraine, the WHO European Office and other international organizations. An analysis of the current situation showed that to achieve this goal it is necessary: to improve the system of statistical indicators for an adequate assessment of the performance of health institutions, including in the economic aspect; creation of a developed medical and statistical base of administrative territories; change of existing technologies for the formation of information resources; strengthening the material-technical base of the structural units of Medical Statistics Service; improvement of the system of training and retraining of personnel for the service of medical statistics; development of international cooperation in the field of methodology and practice of medical statistics, implementation of internationally accepted methods for collecting, processing, analyzing and disseminating medical and statistical information; the creation of a medical and statistical service that adapted to the specifics of market relations in health care, flexible and sensitive to changes in international methodologies and standards. Conclusions: The data of medical statistics are the basis for taking managerial decisions by managers at all levels of health care. Reform of Medical Statistics Service of Ukraine should be considered only in the context of the reform of the entire health system. The main directions of the reform of the medical statistics service in Ukraine are: the introduction of information technologies, the improvement of the training of personnel for the service, the improvement of material and technical equipment, the maximum reuse of the data obtained, which provides for the unification of primary data and a system of indicators. The most difficult area is the formation of information funds and the introduction of modern information technologies.

Using a Learning Collaborative Strategy With Office-based Practices to Increase Access and Improve Quality of Care for Patients With Opioid Use Disorders.

PubMed

Nordstrom, Benjamin R; Saunders, Elizabeth C; McLeman, Bethany; Meier, Andrea; Xie, Haiyi; Lambert-Harris, Chantal; Tanzman, Beth; Brooklyn, John; King, Gregory; Kloster, Nels; Lord, Clifton Frederick; Roberts, William; McGovern, Mark P

2016-01-01

Rapidly escalating rates of heroin and prescription opioid use have been widely observed in rural areas across the United States. Although US Food and Drug Administration-approved medications for opioid use disorders exist, they are not routinely accessible to patients. One medication, buprenorphine, can be prescribed by waivered physicians in office-based practice settings, but practice patterns vary widely. This study explored the use of a learning collaborative method to improve the provision of buprenorphine in the state of Vermont. We initiated a learning collaborative with 4 cohorts of physician practices (28 total practices). The learning collaborative consisted of a series of 4 face-to-face and 5 teleconference sessions over 9 months. Practices collected and reported on 8 quality-improvement data measures, which included the number of patients prescribed buprenorphine, and the percent of unstable patients seen weekly. Changes from baseline to 8 months were examined using a p-chart and logistic regression methodology. Physician engagement in the learning collaborative was favorable across all 4 cohorts (85.7%). On 6 of the 7 quality-improvement measures, there were improvements from baseline to 8 months. On 4 measures, these improvements were statistically significant (P < 0.001). Importantly, practice variation decreased over time on all measures. The number of patients receiving medication increased only slightly (3.4%). Results support the effectiveness of a learning collaborative approach to engage physicians, modestly improve patient access, and significantly reduce practice variation. The strategy is potentially generalizable to other systems and regions struggling with this important public health problem.

Reversed inverse regression for the univariate linear calibration and its statistical properties derived using a new methodology

NASA Astrophysics Data System (ADS)

Kang, Pilsang; Koo, Changhoi; Roh, Hokyu

2017-11-01

Since simple linear regression theory was established at the beginning of the 1900s, it has been used in a variety of fields. Unfortunately, it cannot be used directly for calibration. In practical calibrations, the observed measurements (the inputs) are subject to errors, and hence they vary, thus violating the assumption that the inputs are fixed. Therefore, in the case of calibration, the regression line fitted using the method of least squares is not consistent with the statistical properties of simple linear regression as already established based on this assumption. To resolve this problem, "classical regression" and "inverse regression" have been proposed. However, they do not completely resolve the problem. As a fundamental solution, we introduce "reversed inverse regression" along with a new methodology for deriving its statistical properties. In this study, the statistical properties of this regression are derived using the "error propagation rule" and the "method of simultaneous error equations" and are compared with those of the existing regression approaches. The accuracy of the statistical properties thus derived is investigated in a simulation study. We conclude that the newly proposed regression and methodology constitute the complete regression approach for univariate linear calibrations.

The kappa statistic in rehabilitation research: an examination.

PubMed

Tooth, Leigh R; Ottenbacher, Kenneth J

2004-08-01

The number and sophistication of statistical procedures reported in medical rehabilitation research is increasing. Application of the principles and methods associated with evidence-based practice has contributed to the need for rehabilitation practitioners to understand quantitative methods in published articles. Outcomes measurement and determination of reliability are areas that have experienced rapid change during the past decade. In this study, distinctions between reliability and agreement are examined. Information is presented on analytical approaches for addressing reliability and agreement with the focus on the application of the kappa statistic. The following assumptions are discussed: (1) kappa should be used with data measured on a categorical scale, (2) the patients or objects categorized should be independent, and (3) the observers or raters must make their measurement decisions and judgments independently. Several issues related to using kappa in measurement studies are described, including use of weighted kappa, methods of reporting kappa, the effect of bias and prevalence on kappa, and sample size and power requirements for kappa. The kappa statistic is useful for assessing agreement among raters, and it is being used more frequently in rehabilitation research. Correct interpretation of the kappa statistic depends on meeting the required assumptions and accurate reporting.

Statistical analysis plan for the family-led rehabilitation after stroke in India (ATTEND) trial: A multicenter randomized controlled trial of a new model of stroke rehabilitation compared to usual care.

PubMed

Billot, Laurent; Lindley, Richard I; Harvey, Lisa A; Maulik, Pallab K; Hackett, Maree L; Murthy, Gudlavalleti Vs; Anderson, Craig S; Shamanna, Bindiganavale R; Jan, Stephen; Walker, Marion; Forster, Anne; Langhorne, Peter; Verma, Shweta J; Felix, Cynthia; Alim, Mohammed; Gandhi, Dorcas Bc; Pandian, Jeyaraj Durai

2017-02-01

Background In low- and middle-income countries, few patients receive organized rehabilitation after stroke, yet the burden of chronic diseases such as stroke is increasing in these countries. Affordable models of effective rehabilitation could have a major impact. The ATTEND trial is evaluating a family-led caregiver delivered rehabilitation program after stroke. Objective To publish the detailed statistical analysis plan for the ATTEND trial prior to trial unblinding. Methods Based upon the published registration and protocol, the blinded steering committee and management team, led by the trial statistician, have developed a statistical analysis plan. The plan has been informed by the chosen outcome measures, the data collection forms and knowledge of key baseline data. Results The resulting statistical analysis plan is consistent with best practice and will allow open and transparent reporting. Conclusions Publication of the trial statistical analysis plan reduces potential bias in trial reporting, and clearly outlines pre-specified analyses. Clinical Trial Registrations India CTRI/2013/04/003557; Australian New Zealand Clinical Trials Registry ACTRN1261000078752; Universal Trial Number U1111-1138-6707.

Online biostatistics: evidence-based curriculum for master's nursing education.

PubMed

Shillam, Casey R; Ho, Grace; Commodore-Mensah, Yvonne

2014-04-01

Rapid changes in health care delivery require nurses to attain advanced knowledge, skills, and attitudes in biostatistics to provide high-quality, safe patient care. Advances in educational technologies support the delivery of graduate nursing education in online formats. Given the diversity of learning styles among graduate nursing students and the specific challenges in delivering biostatistics content in traditional formats, it is vital to include different delivery formats to engage and meet the learning needs of graduate nursing students who take biostatistics courses online. This article describes the pioneering approach of one graduate nursing program to implementing best practices for delivering an online biostatistics course to help master's-prepared nurses attain both statistical literacy and statistical communication skills. Copyright 2014, SLACK Incorporated.

Understanding medical group financial and operational performance: the synergistic effect of linking statistical process control and profit and loss.

PubMed

Smolko, J R; Greisler, D S

2001-01-01

There is ongoing pressure for medical groups owned by not-for-profit health care systems or for-profit entrepreneurs to generate profit. The fading promise of superior strategy through health care integration has boards of directors clamoring for bottom-line performance. While prudent, sole focus on the bottom line through the lens of the profit-and-loss (P&L) statement provides incomplete information upon which to base executive decisions. The purpose of this paper is to suggest that placing statistical process control (SPC) charts in tandem with the P&L statement provides a more complete picture of medical group performance thereby optimizing decision making as executives deal with the whitewater issues surrounding physician practice ownership.

Hypothesis testing for band size detection of high-dimensional banded precision matrices.

PubMed

An, Baiguo; Guo, Jianhua; Liu, Yufeng

2014-06-01

Many statistical analysis procedures require a good estimator for a high-dimensional covariance matrix or its inverse, the precision matrix. When the precision matrix is banded, the Cholesky-based method often yields a good estimator of the precision matrix. One important aspect of this method is determination of the band size of the precision matrix. In practice, crossvalidation is commonly used; however, we show that crossvalidation not only is computationally intensive but can be very unstable. In this paper, we propose a new hypothesis testing procedure to determine the band size in high dimensions. Our proposed test statistic is shown to be asymptotically normal under the null hypothesis, and its theoretical power is studied. Numerical examples demonstrate the effectiveness of our testing procedure.

A robust bayesian estimate of the concordance correlation coefficient.

PubMed

Feng, Dai; Baumgartner, Richard; Svetnik, Vladimir

2015-01-01

A need for assessment of agreement arises in many situations including statistical biomarker qualification or assay or method validation. Concordance correlation coefficient (CCC) is one of the most popular scaled indices reported in evaluation of agreement. Robust methods for CCC estimation currently present an important statistical challenge. Here, we propose a novel Bayesian method of robust estimation of CCC based on multivariate Student's t-distribution and compare it with its alternatives. Furthermore, we extend the method to practically relevant settings, enabling incorporation of confounding covariates and replications. The superiority of the new approach is demonstrated using simulation as well as real datasets from biomarker application in electroencephalography (EEG). This biomarker is relevant in neuroscience for development of treatments for insomnia.

Class size as related to the use of technology, educational practices, and outcomes in Web-based nursing courses.

PubMed

Burruss, Nancy M; Billings, Diane M; Brownrigg, Vicki; Skiba, Diane J; Connors, Helen R

2009-01-01

With the expanding numbers of nursing students enrolled in Web-based courses and the shortage of faculty, class sizes are increasing. This exploratory descriptive study examined class size in relation to the use of technology and to particular educational practices and outcomes. The sample consisted of undergraduate (n = 265) and graduate (n = 863) students enrolled in fully Web-based nursing courses. The Evaluating Educational Uses of Web-based Courses in Nursing survey (Billings, D., Connors, H., Skiba, D. (2001). Benchmarking best practices in Web-based nursing courses. Advances in Nursing Science, 23, 41--52) and the Social Presence Scale (Gunawardena, C. N., Zittle, F. J. (1997). Social presence as a predictor of satisfaction within a computer-mediated conferencing environment. The American Journal of Distance Education, 11, 9-26.) were used to gather data about the study variables. Class sizes were defined as very small (1 to 10 students), small (11 to 20 students), medium (21 to 30 students), large (31 to 40 students), and very large (41 students and above). Descriptive and inferential statistics were used to analyze the data. There were significant differences by class size in students' perceptions of active participation in learning, student-faculty interaction, peer interaction, and connectedness. Some differences by class size between undergraduate and graduate students were also found, and these require further study.

The Characteristics, Experiences and Perceptions of Registered Massage Therapists in New Zealand: Results from a National Survey of Practitioners.

PubMed

Cottingham, Phillip; Adams, Jon; Vempati, Ram; Dunn, Jill; Sibbritt, David

2018-06-01

Massage therapy is widely recognized as offering many health benefits, with a growing number of studies finding it has value in stress management, pain reduction, and overcoming physical limitations. However, there are few studies of massage therapists practices and perceptions in New Zealand and internationally. This paper reports the findings from the first national survey examining the characteristics, perceptions, and experiences of New Zealand-based massage therapists on a range of aspects related to their role and practices. This study sought to ascertain the characteristics, experiences, and perceptions of massage therapists in New Zealand, particularly in the aspects of: integration of health care; attitudes and practices related to research; and evidence and attitudes to registration. Massage practice in New Zealand (nationwide survey). Members of Massage New Zealand (a massage practitioners association). Massage practitioners were surveyed online, using a 65-part questionnaire, on a range of characteristics of their practices and their attitudes to research, integration, and registration. Statistical analysis was performed using STATA. Statistical significance was set at 0.05. Four hundred massage therapists (MTs) were invited to participate and 115 responded, providing a response rate of 29%. MTs valued research (95%) and perceived that it had an impact for their practices (88%). Significant correlations were found for research value and: mean case-load ( p = .009) and level of academic qualification ( p = .004). The majority of MTs (79%) supported integration with conventional practitioners, and 83% referred clients to general practitioners, with 75% receiving referrals from general practitioners. Ninety-three percent of MTs supported registration, with 67% of those supporting statutory registration. Massage practitioners perceive that they make a significant contribution to health care, but area of practice, such as research, and referral and integration into mainstream health care require more in-depth investigation.

Voice rest after vocal fold surgery: current practice and evidence.

PubMed

Coombs, A C; Carswell, A J; Tierney, P A

2013-08-01

Voice rest is commonly recommended after vocal fold surgery, but there is a lack of evidence base and no standard protocol. The aim of this study was to establish common practice regarding voice rest following vocal fold surgery. An online survey was circulated via e-mail invitation to members of the ENT UK Expert Panel between October and November 2011. The survey revealed that 86.5 per cent of respondents agreed that 'complete voice rest' means no sound production at all, but there was variability in how 'relative voice rest' was defined. There was no dominant type of voice rest routinely recommended after surgery for laryngeal papillomatosis or intermediate pathologies. There was considerable variability in the duration of voice rest recommended, with no statistically significant, most popular response (except for malignant lesions). Surgeons with less than 10 years of experience were more likely to recommend fewer days of voice rest. There is a lack of consistency in advice given to patients after vocal fold surgery, in terms of both type and length of voice rest. This may arise from an absence of robust evidence on which to base practice.

Physician pattern of patient notification of test results.

PubMed

Thiedke, Carolyn C; Hoeft, Katherine A; Pearson, William S

2005-01-01

To discover how community-based family physicians notify patients of test results and whether there are differences based on sex, length of time in practice, reimbursement status, employment status,or percentage of practice in managed care. We mailed a survey to 500 randomly selected members of the South Carolina chapter of the American Academy of Family Physicians. All analyses were preformed using SASTM version 8.2. Both descriptive and inferential statistics were used to analyze the collected data. A total of 367 physicians responded (73% response rate). The main outcome variable was the time each physician spent notifying patients of test results: a mean of 20.86 +/- 18.3 minutes per day(range 0-120 minutes/day). Women physicians and those with more than 75% managed care were significantly more likely to spend more than the median time notifying patients of test results. Physicians vary in the amount of time they spend notifying patients of their test results, with female physicians and those with more than 75% of their practice in managed care spending more time than do male physicians and physicians with less managed care.

The Web as an educational tool for/in learning/teaching bioinformatics statistics.

PubMed

Oliver, J; Pisano, M E; Alonso, T; Roca, P

2005-12-01

Statistics provides essential tool in Bioinformatics to interpret the results of a database search or for the management of enormous amounts of information provided from genomics, proteomics and metabolomics. The goal of this project was the development of a software tool that would be as simple as possible to demonstrate the use of the Bioinformatics statistics. Computer Simulation Methods (CSMs) developed using Microsoft Excel were chosen for their broad range of applications, immediate and easy formula calculation, immediate testing and easy graphics representation, and of general use and acceptance by the scientific community. The result of these endeavours is a set of utilities which can be accessed from the following URL: http://gmein.uib.es/bioinformatica/statistics. When tested on students with previous coursework with traditional statistical teaching methods, the general opinion/overall consensus was that Web-based instruction had numerous advantages, but traditional methods with manual calculations were also needed for their theory and practice. Once having mastered the basic statistical formulas, Excel spreadsheets and graphics were shown to be very useful for trying many parameters in a rapid fashion without having to perform tedious calculations. CSMs will be of great importance for the formation of the students and professionals in the field of bioinformatics, and for upcoming applications of self-learning and continuous formation.

Statistical fluctuations in pedestrian evacuation times and the effect of social contagion

NASA Astrophysics Data System (ADS)

Nicolas, Alexandre; Bouzat, Sebastián; Kuperman, Marcelo N.

2016-08-01

Mathematical models of pedestrian evacuation and the associated simulation software have become essential tools for the assessment of the safety of public facilities and buildings. While a variety of models is now available, their calibration and test against empirical data are generally restricted to global averaged quantities; the statistics compiled from the time series of individual escapes ("microscopic" statistics) measured in recent experiments are thus overlooked. In the same spirit, much research has primarily focused on the average global evacuation time, whereas the whole distribution of evacuation times over some set of realizations should matter. In the present paper we propose and discuss the validity of a simple relation between this distribution and the microscopic statistics, which is theoretically valid in the absence of correlations. To this purpose, we develop a minimal cellular automaton, with features that afford a semiquantitative reproduction of the experimental microscopic statistics. We then introduce a process of social contagion of impatient behavior in the model and show that the simple relation under test may dramatically fail at high contagion strengths, the latter being responsible for the emergence of strong correlations in the system. We conclude with comments on the potential practical relevance for safety science of calculations based on microscopic statistics.

Medical ethical standards in dermatology: an analytical study of knowledge, attitudes and practices.

PubMed

Mostafa, W Z; Abdel Hay, R M; El Lawindi, M I

2015-01-01

Dermatology practice has not been ethically justified at all times. The objective of the study was to find out dermatologists' knowledge about medical ethics, their attitudes towards regulatory measures and their practices, and to study the different factors influencing the knowledge, the attitude and the practices of dermatologists. This is a cross-sectional comparative study conducted among 214 dermatologists, from five Academic Universities and from participants in two conferences. A 54 items structured anonymous questionnaire was designed to describe the demographical characteristics of the study group as well as their knowledge, attitude and practices regarding the medical ethics standards in clinical and research settings. Five scoring indices were estimated regarding knowledge, attitude and practice. Inferential statistics were used to test differences between groups as indicated. The Student's t-test and analysis of variance were carried out for quantitative variables. The chi-squared test was conducted for qualitative variables. The results were considered statistically significant at a P > 0.05. Analysis of the possible factors having impact on the overall scores revealed that the highest knowledge scores were among dermatologists who practice in an academic setting plus an additional place; however, this difference was statistically non-significant (P = 0.060). Female dermatologists showed a higher attitude score compared to males (P = 0.028). The highest significant attitude score (P = 0.019) regarding clinical practice was recorded among those practicing cosmetic dermatology. The different studied groups of dermatologists revealed a significant impact on the attitude score (P = 0.049), and the evidence-practice score (P < 0.001). Ethical practices will improve the quality and integrity of dermatology research. © 2014 European Academy of Dermatology and Venereology.

Statistics for Learning Genetics

NASA Astrophysics Data System (ADS)

Charles, Abigail Sheena

This study investigated the knowledge and skills that biology students may need to help them understand statistics/mathematics as it applies to genetics. The data are based on analyses of current representative genetics texts, practicing genetics professors' perspectives, and more directly, students' perceptions of, and performance in, doing statistically-based genetics problems. This issue is at the emerging edge of modern college-level genetics instruction, and this study attempts to identify key theoretical components for creating a specialized biological statistics curriculum. The goal of this curriculum will be to prepare biology students with the skills for assimilating quantitatively-based genetic processes, increasingly at the forefront of modern genetics. To fulfill this, two college level classes at two universities were surveyed. One university was located in the northeastern US and the other in the West Indies. There was a sample size of 42 students and a supplementary interview was administered to a select 9 students. Interviews were also administered to professors in the field in order to gain insight into the teaching of statistics in genetics. Key findings indicated that students had very little to no background in statistics (55%). Although students did perform well on exams with 60% of the population receiving an A or B grade, 77% of them did not offer good explanations on a probability question associated with the normal distribution provided in the survey. The scope and presentation of the applicable statistics/mathematics in some of the most used textbooks in genetics teaching, as well as genetics syllabi used by instructors do not help the issue. It was found that the text books, often times, either did not give effective explanations for students, or completely left out certain topics. The omission of certain statistical/mathematical oriented topics was seen to be also true with the genetics syllabi reviewed for this study. Nonetheless, although the necessity for infusing these quantitative subjects with genetics and, overall, the biological sciences is growing (topics including synthetic biology, molecular systems biology and phylogenetics) there remains little time in the semester to be dedicated to the consolidation of learning and understanding.

Primary care physician supply and other key determinants of health care utilisation: the case of Switzerland

PubMed Central

Busato, André; Künzi, Beat

2008-01-01

Background The Swiss government decided to freeze new accreditations for physicians in private practice in Switzerland based on the assumption that demand-induced health care spending may be cut by limiting care offers. This legislation initiated an ongoing controversial public debate in Switzerland. The aim of this study is therefore the determination of socio-demographic and health system-related factors of per capita consultation rates with primary care physicians in the multicultural population of Switzerland. Methods The data were derived from the complete claims data of Swiss health insurers for 2004 and included 21.4 million consultations provided by 6564 Swiss primary care physicians on a fee-for-service basis. Socio-demographic data were obtained from the Swiss Federal Statistical Office. Utilisation-based health service areas were created and were used as observational units for statistical procedures. Multivariate and hierarchical models were applied to analyze the data. Results Models within the study allowed the definition of 1018 primary care service areas with a median population of 3754 and an average per capita consultation rate of 2.95 per year. Statistical models yielded significant effects for various geographical, socio-demographic and cultural factors. The regional density of physicians in independent practice was also significantly associated with annual consultation rates and indicated an associated increase 0.10 for each additional primary care physician in a population of 10,000 inhabitants. Considerable differences across Swiss language regions were observed with reference to the supply of ambulatory health resources provided either by primary care physicians, specialists, or hospital-based ambulatory care. Conclusion The study documents a large small-area variation in utilisation and provision of health care resources in Switzerland. Effects of physician density appeared to be strongly related to Swiss language regions and may be rooted in the different cultural backgrounds of the served populations. PMID:18190705

Primary care physician supply and other key determinants of health care utilisation: the case of Switzerland.

PubMed

Busato, André; Künzi, Beat

2008-01-11

The Swiss government decided to freeze new accreditations for physicians in private practice in Switzerland based on the assumption that demand-induced health care spending may be cut by limiting care offers. This legislation initiated an ongoing controversial public debate in Switzerland. The aim of this study is therefore the determination of socio-demographic and health system-related factors of per capita consultation rates with primary care physicians in the multicultural population of Switzerland. The data were derived from the complete claims data of Swiss health insurers for 2004 and included 21.4 million consultations provided by 6564 Swiss primary care physicians on a fee-for-service basis. Socio-demographic data were obtained from the Swiss Federal Statistical Office. Utilisation-based health service areas were created and were used as observational units for statistical procedures. Multivariate and hierarchical models were applied to analyze the data. Models within the study allowed the definition of 1018 primary care service areas with a median population of 3754 and an average per capita consultation rate of 2.95 per year. Statistical models yielded significant effects for various geographical, socio-demographic and cultural factors. The regional density of physicians in independent practice was also significantly associated with annual consultation rates and indicated an associated increase 0.10 for each additional primary care physician in a population of 10,000 inhabitants. Considerable differences across Swiss language regions were observed with reference to the supply of ambulatory health resources provided either by primary care physicians, specialists, or hospital-based ambulatory care. The study documents a large small-area variation in utilisation and provision of health care resources in Switzerland. Effects of physician density appeared to be strongly related to Swiss language regions and may be rooted in the different cultural backgrounds of the served populations.

Statistical Methods for the Analysis of Discrete Choice Experiments: A Report of the ISPOR Conjoint Analysis Good Research Practices Task Force.

PubMed

Hauber, A Brett; González, Juan Marcos; Groothuis-Oudshoorn, Catharina G M; Prior, Thomas; Marshall, Deborah A; Cunningham, Charles; IJzerman, Maarten J; Bridges, John F P

2016-06-01

Conjoint analysis is a stated-preference survey method that can be used to elicit responses that reveal preferences, priorities, and the relative importance of individual features associated with health care interventions or services. Conjoint analysis methods, particularly discrete choice experiments (DCEs), have been increasingly used to quantify preferences of patients, caregivers, physicians, and other stakeholders. Recent consensus-based guidance on good research practices, including two recent task force reports from the International Society for Pharmacoeconomics and Outcomes Research, has aided in improving the quality of conjoint analyses and DCEs in outcomes research. Nevertheless, uncertainty regarding good research practices for the statistical analysis of data from DCEs persists. There are multiple methods for analyzing DCE data. Understanding the characteristics and appropriate use of different analysis methods is critical to conducting a well-designed DCE study. This report will assist researchers in evaluating and selecting among alternative approaches to conducting statistical analysis of DCE data. We first present a simplistic DCE example and a simple method for using the resulting data. We then present a pedagogical example of a DCE and one of the most common approaches to analyzing data from such a question format-conditional logit. We then describe some common alternative methods for analyzing these data and the strengths and weaknesses of each alternative. We present the ESTIMATE checklist, which includes a list of questions to consider when justifying the choice of analysis method, describing the analysis, and interpreting the results. Copyright © 2016 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

Peers versus professional training of basic life support in Syria: a randomized controlled trial.

PubMed

Abbas, Fatima; Sawaf, Bisher; Hanafi, Ibrahem; Hajeer, Mohammad Younis; Zakaria, Mhd Ismael; Abbas, Wafaa; Alabdeh, Fadi; Ibrahim, Nazir

2018-06-18

Peer training has been identified as a useful tool for delivering undergraduate training in basic life support (BLS) which is fundamental as an initial response in cases of emergency. This study aimed to (1) Evaluate the efficacy of peer-led model in basic life support training among medical students in their first three years of study, compared to professional-led training and (2) To assess the efficacy of the course program and students' satisfaction of peer-led training. A randomized controlled trial with blinded assessors was conducted on 72 medical students from the pre-clinical years (1st to 3rd years in Syria) at Syrian Private University. Students were randomly assigned to peer-led or to professional-led training group for one-day-course of basic life support skills. Sixty-four students who underwent checklist based assessment using objective structured clinical examination design (OSCE) (practical assessment of BLS skills) and answered BLS knowledge checkpoint-questionnaire were included in the analysis. There was no statistically significant difference between the two groups in delivering BLS skills to medical students in practical (P = 0.850) and BLS knowledge questionnaire outcomes (P = 0.900). Both groups showed statistically significant improvement from pre- to post-course assessment with significant statistical difference in both practical skills and theoretical knowledge (P-Value < 0.001). Students were satisfied with the peer model of training. Peer-led training of basic life support for medical students was beneficial and it provided a quality of education which was as effective as training conducted by professionals. This method is applicable and desirable especially in poor-resource countries and in crisis situation.

Impact of Performance Improvement Continuing Medical Education on Cardiometabolic Risk Factor Control: The COSEHC Initiative

PubMed Central

Joyner, JaNae; Moore, Michael A.; Simmons, Debra R.; Forrest, Brian; Yu-Isenberg, Kristina; Piccione, Ron; Caton, Kirt; Lackland, Daniel T.; Ferrario, Carlos M.

2016-01-01

Introduction The Consortium for Southeastern Hypertension Control (COSEHC) implemented a study to assess benefits of a performance improvement continuing medical education (PI CME) activity focused on cardiometabolic risk factor management in primary care patients. Methods Using the plan-do-study-act (PDSA) model as the foundation, this PI CME activity aimed at improving practice gaps by integrating evidence-based clinical interventions, physician-patient education, processes of care, performance metrics, and patient outcomes. The PI CME intervention was implemented in a group of South Carolina physician practices, while a comparable physician practice group served as a control. Performance outcomes at 6 months included changes in patients’ cardiometabolic risk factor values and control rates from baseline. We also compared changes in diabetic, African American, the elderly (> 65 years), and female patient subpopulations and in patients with uncontrolled risk factors at baseline. Results Only women receiving health care by intervention physicians showed a statistical improvement in their cardiometabolic risk factors as evidenced by a −3.0 mg/dL and a −3.5 mg/dL decrease in mean LDL cholesterol and non-HDL cholesterol, respectively, and a −7.0 mg/dL decrease in LDL cholesterol among females with uncontrolled baseline LDL cholesterol values. No other statistical differences were found. Discussion These data demonstrate that our PI CME activity is a useful strategy in assisting physicians to improve their management of cardiometabolic control rates in female patients with abnormal cholesterol control. Other studies that extend across longer PI CME PDSA periods may be needed to demonstrate statistical improvements in overall cardiometabolic treatment goals in men, women, and various subpopulations. PMID:24648361

Applying behavior-analytic methodology to the science and practice of environmental enrichment in zoos and aquariums.

PubMed

Alligood, Christina A; Dorey, Nicole R; Mehrkam, Lindsay R; Leighty, Katherine A

2017-05-01

Environmental enrichment in zoos and aquariums is often evaluated at two overlapping levels: published research and day-to-day institutional record keeping. Several authors have discussed ongoing challenges with small sample sizes in between-groups zoological research and have cautioned against the inappropriate use of inferential statistics (Shepherdson, , International Zoo Yearbook, 38, 118-124; Shepherdson, Lewis, Carlstead, Bauman, & Perrin, Applied Animal Behaviour Science, 147, 298-277; Swaisgood, , Applied Animal Behaviour Science, 102, 139-162; Swaisgood & Shepherdson, , Zoo Biology, 24, 499-518). Multi-institutional studies are the typically-prescribed solution, but these are expensive and difficult to carry out. Kuhar ( Zoo Biology, 25, 339-352) provided a reminder that inferential statistics are only necessary when one wishes to draw general conclusions at the population level. Because welfare is assessed at the level of the individual animal, we argue that evaluations of enrichment efficacy are often instances in which inferential statistics may be neither necessary nor appropriate. In recent years, there have been calls for the application of behavior-analytic techniques to zoo animal behavior management, including environmental enrichment (e.g., Bloomsmith, Marr, & Maple, , Applied Animal Behaviour Science, 102, 205-222; Tarou & Bashaw, , Applied Animal Behaviour Science, 102, 189-204). Single-subject (also called single-case, or small-n) designs provide a means of designing evaluations of enrichment efficacy based on an individual's behavior. We discuss how these designs might apply to research and practice goals at zoos and aquariums, contrast them with standard practices in the field, and give examples of how each could be successfully applied in a zoo or aquarium setting. © 2017 Wiley Periodicals, Inc.

Tutoring electronic troubleshooting in a simulated maintenance work environment

NASA Technical Reports Server (NTRS)

Gott, Sherrie P.

1987-01-01

A series of intelligent tutoring systems, or intelligent maintenance simulators, is being developed based on expert and novice problem solving data. A graded series of authentic troubleshooting problems provides the curriculum, and adaptive instructional treatments foster active learning in trainees who engage in extensive fault isolation practice and thus in conditionalizing what they know. A proof of concept training study involving human tutoring was conducted as a precursor to the computer tutors to assess this integrated, problem based approach to task analysis and instruction. Statistically significant improvements in apprentice technicians' troubleshooting efficiency were achieved after approximately six hours of training.

Journal selection decisions: a biomedical library operations research model. I. The framework.

PubMed Central

Kraft, D H; Polacsek, R A; Soergel, L; Burns, K; Klair, A

1976-01-01

The problem of deciding which journal titles to select for acquisition in a biomedical library is modeled. The approach taken is based on cost/benefit ratios. Measures of journal worth, methods of data collection, and journal cost data are considered. The emphasis is on the development of a practical process for selecting journal titles, based on the objectivity and rationality of the model; and on the collection of the approprate data and library statistics in a reasonable manner. The implications of this process towards an overall management information system (MIS) for biomedical serials handling are discussed. PMID:820391

Do quality indicators for general practice teaching practices predict good outcomes for students?

PubMed

Bartlett, Maggie; Potts, Jessica; McKinley, Bob

2016-07-01

Keele medical students spend 113 days in general practices over our five-year programme. We collect practice data thought to indicate good quality teaching. We explored the relationships between these data and two outcomes for students; Objective Structured Clinical Examination (OSCE) scores and feedback regarding the placements. Though both are surrogate markers of good teaching, they are widely used. We collated practice and outcome data for one academic year. Two separate statistical analyses were carried out: (1) to determine how much of the variation seen in the OSCE scores was due to the effect of the practice and how much to the individual student. (2) to identify practice characteristics with a relationship to student feedback scores. (1) OSCE performance: 268 students in 90 practices: six quality indicators independently influenced the OSCE score, though without linear relationships and not to statistical significance. (2) Student satisfaction: 144 students in 69 practices: student feedback scores are not influenced by practice characteristics. The relationships between the quality indicators we collect for practices and outcomes for students are not clear. It may be that neither the quality indicators nor the outcome measures are reliable enough to inform decisions about practices' suitability for teaching.

Are Statisticians Cold-Blooded Bosses? A New Perspective on the "Old" Concept of Statistical Population

ERIC Educational Resources Information Center

Lu, Yonggang; Henning, Kevin S. S.

2013-01-01

Spurred by recent writings regarding statistical pragmatism, we propose a simple, practical approach to introducing students to a new style of statistical thinking that models nature through the lens of data-generating processes, not populations. (Contains 5 figures.)