This course gives an introduction to the analysis of repeated measurements that because of correlation requires special statistical techniques. The students will be able to analyze repeated measurements data where the response is continuous as well as binary using the statistical package Stata.
Using multiple linear regression techniques on repeated measurements data will be wrong as correlated data structure is not taken into account, and therefore analysis of such data requires special statistical techniques. The course covers simple techniques such as the paired t-test and summary statistics, but also more sophisticated techniques such as generalised estimating equations and random coefficient analysis. A distinction is made between repeated measurement analysis with continuous and dichotomous outcome variables. We will also look into the problem of missing data in longitudinal studies.
Course arrangements: 4 full days.
Course credit: 3 ECTS
Lectures and exercises including use of computers. The typical arrangement is lectures for the first half of the day and individual coursework with exercises the second half.
Course leader: Associate professor Rene Holst, Institute of Regional Health Services Research, SDU.
Prerequisites: Bio Statistics I. Students should bring their own laptop.
The course is free of charge for PhD students enrolled in Universities that have joined the "Open market agreement".
For other participants there is a course fee of DKK 5201,-