Statistical method analyzing the effects of interventions

Transcription

1 Elective course Statistical method analyzing the effects of interventions Statistik til analyse af effekten af interventioner et metode kursus Master of Science in Physiotherapy, University of Southern Denmark Version: October 5 th, Semester Autumn 2017 (Studieguiden er med forbehold for ændringer) [1]

2 Aims of the course The aim of this course is to make the students able to evaluate the effects of interventions using appropriate statistical methods, and evaluate and discuss the appropriateness of the statistical methods used. Learning outcomes After completing the course the student is expected to have Basic knowledge and understanding of: the prerequisite for choosing different statistical tests evaluating differences between two or more groups. different types of statistical methods for evaluating differences between two or more groups including multiple linear and multiple logistic regressions analysis and mixed effects models. Skills to: choose the most appropriate statistical method for a given analysis. perform statistical analyses using STATA. understand and perform adjusted data analysis in STATA. evaluate the appropriateness of using different statistical methods in analyzing data. Interpret results of performed statistical analyses present results of basic data-analysis in graphic in figures and tables. Generel competence to: perform statistical analysis and argue for the appropriate statistical methods. write the statistical analysis section in a protocol / article in interventions studies. Language The course will be in Danish. However, if one or more participants/s do not speak or understand Danish sufficiently the teaching language will be English. Teaching methods Lectures followed by individual and group exercises. All students are expected to participate actively in the exercises either individually or in groups [2]

3 Course workload 5 ECTS Prerequisite Basic knowledge of statistics equivalent to BASTA (basic statistics) in module 1, first study year on the Master of Science in Physiotherapy or completed equivalent courses. Guiding distribution of the workload Course 5 ECTS. (5 ECTS x 27.5 hours = hours). Activity Work load hours Lectures. 7 days, 2 hours each day Individual and group exercises (supervised). 7 days 2 hours each day Preparation for lectures and assignment 85,5 Written assignment 24,0 Course workload 137,5 Evaluation form The module in Statistical method analyzing effects of interventions is evaluated by an internal evaluation based on a written assignment. The assignment must be written in Danish or English. The assignment will be evaluated with the 7-step scale. Deadline for handing in assignment: November 10 th, no later than noon. The assignment consist of two parts Part A: based on a case and given dataset the student should write a statistical analysis plan Part B: based on cases and given datasets the student should perform a statistical analysis and argue for the methodological choices. [3]

4 Reexamination If judged not passed (meaning 00 or -03 on the12-scale) a re-examination takes place within the same semester as the regular exam or in immediate continuation. The re-examination will be held on the same conditions as the ordinary exam, using the same evaluation forms and guidelines. Registration for re-examination must be done by the student via self-service. Deadline for handing in the re-examination assignment: December 20 th, not later than noon. Criteria for exhaustive fulfillment of the learning outcome The candidate should show knowledge of the prerequisite for choosing statistical test analyzing differences between two or more groups. The candidate should be able to formulate a statistical method section choose the most appropriate statistical method for a given analysis performing the statistical analysis using STATA understand and perform adjusted data analysis in STATA. evaluate the appropriateness of using different statistical methods in analyzing data. present results of basic data-analysis in graphic in figures and tables. Course coordinator Carsten Juhl. Associate professor, MPH, PhD, Head of Studies for Master of Science in Physiotherapy, SEARCH - research group for Synthesis of Evidence and Research, Research Unit of Musculoskeletal Function and Physiotherapy Department of Sports Science and Clinical Biomechanics (IOB) University of Southern Denmark, Campusvej 55, DK-5230 Odense. Phone: , cjuhl@health.sdu.dk Jonas Bloch Thorlund Associate professor, MSc, PhD, Research Unit of Musculoskeletal Function and Physiotherapy Department of Sports Science and Clinical Biomechanics (IOB), University of Southern Denmark, Campusvej 55, DK-5230 Odense. Phone: , jthorlund@health.sdu.dk [4]

5 Program secretary Ditte Nygaard, Winsløwparken 19, III, 5000 Odense C, Phone: Postal address: Det sundhedsvidenskabelige Fakultet, Uddannelse og Kvalitet, att: Inge Poetzsch, J. B Winsløw vej 19, 3. sal, 5000 Odense C Link til Mit Skema Week 36 Wednesday September the 6 th U141 Learning goals: to give the students an introduction to basic statistics comparing means. The students should be able to perform a comparison of means and interpret standard deviation, standard error, 95% confidence interval and p-value. Furthermore the student should be able to evaluate distribution of data and test for normality assumption and argue for the choice of statistical test. Finally the students should be able to understand and interpret output from STATA Evaluate distribution of data and test for normality assumption and perform comparisons of mean (Carsten Juhl) Exercises in STATA: evaluate distribution of data; comparison of means and interpret standard deviation, standard error, 95% confidence interval; Exercise material are available (Carsten Juhl). Literature: Kirkwood BR and Sterne JAC. Medical Statistics (2 nd edition), 2003 pp ; Chapter 4-9. Week 37 Wednesday September the 13 th U141 Learning goals: to give the students an introduction to correlation, linear regressions analysis and multiple linear regressions analysis. The students should be able to interpret slope and other statistical estimates in regressions analysis and perform linear regressions analysis and multiple regressions analysis in STATA, and understand and interpret the output in STATA. [5]

6 Introductions to correlations analysis, regressions analysis and multiple regressions analysis (Jonas Thorlund) Exercises in STATA: Correlations analysis, regressions analysis and multiple regressions analysis; Exercise material are available (Jonas Thorlund). Literature: Kirkwood BR and Sterne JAC. Medical Statistics (2 nd edition), 2003 pp ; Chapter Week 38 Wednesday September the 20 th U141 Learning goals: to give the students an introduction to evaluate appropriateness of statistical model. The students should be able to perform an evaluation of model assumption in statistical analysis in STATA Multiple regressions analysis, Transformations of variables, Goodness of fit test. (Jonas Thorlund) Exercises in STATA: Multiple regressions analysis and model assumptions. Exercise material are available (Jonas Thorlund). Literature: Kirkwood BR and Sterne JAC. Medical Statistics (2 nd edition), 2003 pp ; Chapter Week 39 Wednesday September the 27 th U141 Learning goals: to give the students an introduction to probability statistics in STATA. The students should be able to perform analysis of binominal data, adjusted analysis of binominal data and interpret relative risk and odds ratio in STATA, and understand and interpret the output in STATA Probability risk and odds of variables, comparing two proportions, confidence interval Exercises in STATA: Estimating relative risk, odds ratio, confidence interval and compare two proportions in STATA, Adjusted analysis of binominal data (Exercise material will be available), (Carsten Juhl). Literature: Kirkwood BR and Sterne JAC. Medical Statistics (2 nd edition), pp and pp ; Chapter [6]

7 Week 40 Wednesday October the 4 th U141 Learning goals: to give the students an introduction to logistic regressions analysis. The students should be able to perform logistic regressions analysis and interpret the results from logistic regressions analysis in STATA Introductions to logistic regressions analysis in logistics regressions analysis (Jonas Thorlund) Exercises in STATA: Performing logistic regressions analysis in STATA, Plenum session, Exercise material are available, (Jonas Thorlund) Literature: Kirkwood BR and Sterne JAC. Medical Statistics (2 nd edition), pp ; Chapter Week 41 Thursday October the 12 th U145 Learning goals: to give the students an introduction to controlling for confounders in logistic regressions analysis. The students should be able to read and understand clinical trial using logistic regressions analysis and adjustment for confounding and understand and interpret the output in STATA Logistic regressions analysis and controlling for confounders in logistics regressions analysis. Regressions modeling (Carsten Juhl) Performing logistic regressions analysis and controlling for confounders in logistics regressions analysis in STATA, Plenum session, Exercise material are available, (Carsten Juhl). Literature: Kirkwood and Sterne pp ; Chapter Week 43 Wednesday October the 25 th U141 Learning goals: to give the students an introduction to work with statistical analysis. [7]

8 Exercises in STATA. Working through the analysis in last year s assignment. Datasets and assignment are available, (Carsten Juhl). [8]