Statistical method analyzing the effects of interventions

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1 Studyguide 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 CSF 15 - Elective course - Autumn semester 2016 (Studieguiden er med forbehold for ændringer) opdateret den 6. oktober 2016 [1]

2 Indhold Prerequisite... 3 Description of the module... 3 Aims of the course... 3 Learning outcomes... 3 Language... 4 Teaching methods... 4 Course workload... 4 Guiding distribution of the workload... 4 Evaluation form... 4 Criteria for exhaustive fulfilment of the learning outcome... 5 Evaluation of the module... 5 Course coordinator... 5 Program secretary... 6 Week Week Week [2]

3 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.. Description of the module This study guide describes the module Statistical method analyzing the effects of interventions which is an elective course in statistics placed on the 3. Semester (autumn) in the Master of Science in Physiotherapy. 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 statistical test evaluating differences between two or more groups. different types of statistical methods evaluating differences between two or more groups including multiple linear and multiple logistic regressions analysis and analysis of variance. Skills to: choose the most appropriate statistical method for a given analysis. perform 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. 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. [3]

4 Language The course will be in Danish. However, if one or more participants/s does not speak or understand Danish sufficiently the teaching language will be English. Teaching methods Lectures 2 or 3 hours every morning followed by individual and group exercises. All students are expected to participate actively in the exercises either individually or in groups Course workload 5 ECTS Guiding distribution of the workload Course 5 ECTS. (5 ECTS x 27.5 hours = hours). Activity Work load hours Lectures. 6 days, 3 hours each day. 18 Individual and group exercises (supervised). 6 days 3 hours each day. 12 Question class 5 Preparation for lectures 72,5 Written assignment 30 Course workload 137,5 Evaluation form The module in Statistical method analyzing effects of interventions is evaluated by intern 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. The assignment consist of two parts [4]

5 Part A: based on a case and given dataset the student should write a statistical analysis plan containing: a. description of data b. choice of statistical methods c. sensitivity analysis d. model assumption Part B: based on cases and given datasets the student should perform a statistical analysis and argue for the methodological choices. The assignment must not exceed sign including space (approximately 10 normal pages á sign); exclusive title page, reference list and appendixes and has to follow "General guidelines in written assignment at the master of science in physiotherapy". If judged not passed (meaning 00 or -03 on the 7-scale) reassignment using the same evaluations form and guidelines must be performed within 4 weeks. Criteria for exhaustive fulfilment 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. Evaluation of the module The module is evaluated electronically. will be send to the participant at the end of the module. Beside the electronically evaluation the module is evaluated orally with either the course coordinator or the director of studies for the Master of Science in Physiotherapy. Course coordinator Associate professor Carsten Juhl, MPH, PhD, Research Unit of Musculoskeletal Function and Physiotherapy - Institute of Sports Science and Clinical Biomechanics (ISSCB), University of Southern Denmark, Campusvej 55, DK-5230 Odense. Mobile: , cjuhl@health.sdu.dk [5]

6 Program secretary Inge Poetzsch, 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 Week 46 Wednesday November the 16 th WP 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 Introductions to correlations analysis and regressions analysis and multiple regressions analysis (Carsten Juhl) Exercises in STATA: Correlations analysis, regressions analysis and multiple regressions analysis; Exercise material are available (Carsten Juhl). Literature: Kirkwood BR and Sterne JAC. Medical Statistics ((2 nd edition), 2003 pp ; Chapter Thursday November the 17 th Marie Krogh Klinikbygningen OUH Learning goals: to give the students an introduction to goodness of fit analysis. The students should be able to perform and interpret the goodness of fit test in STATA Multiple regressions analysis, Transformations of variables, Goodness of fit test. (Carsten Juhl) Exercises in STATA: Multiple regressions analysis and goodness of fit test in STATA, Plenum session, Exercise material are available. (Carsten Juhl). Literature: Kirkwood and Sterne pp ; Chapter [6]

7 Friday November the 18 th WP 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 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 and Sterne pp and pp ; Chapter Week 47 Wednesday November the 23 th WP 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 (Carsten Juhl) Exercises in STATA: Performing logistic regressions analysis in STATA, Plenum session, Exercise material are available, (Carsten Juhl).). Literature: Kirkwood and Sterne pp ; Chapter Thursday November the 24 th WP 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 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 [7]

8 Friday November the 25 th WP Learning goals: to give the students an introduction to work with statistical analysis Exercises in STATA. Working through the analysis in last year s assignment. Datasets and assignment are available, (Carsten Juhl). Week 48 Working with the assignment The assignments should be handed in December 2 nd 2016 at [8]

Statistical method analyzing the effects of interventions

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