When several measurements are taken on each observational unit (e. g. animal, patient) over a period of time, the term "repeated measures" is used. A typical situation is a clinical trial to study the effect of a drug on circulatory disturbance, when the heart rate for a group of patients is measured one, two, and three hours after the drug has been taken.
Standard statistical methods are not suitable for the analysis of such experiments, because they do not take into account the existing correlation between observations on the same unit. They must be accordingly modified. Which method is finally chosen depends essentially on the questions that the experiment should answer.
In this course you will learn how to correctly analyse repeated measures data in order to obtain meaningful results. After an introduction in graphical techniques and simple methods refined analysis of variance models and regression approaches are presented.
All methods are taught on a basic level. High value is set on practical exercises on the PC. For the introduction the software Excel is used, then other software will be demonstrated. Participants have the opportunity to analyse their own data.