- Principles of clinical trials
- Data from a statistical perspective: Data types and scales, Data structures, Data management, Setup of data, Validation, Missing values
- Continuously scaled data: Description and Estimation: Description of continuously scaled data, Practical aspects: Normal distribution, transformations, Estimation of parameters of distributions, Standard error and confidence interval (SE and CI), Statistical tests using CI, Tests of difference vs. test of equivalence- Hypothesis testing: Principles of statistical hypothesis testing, Multiple testing, Sample size , Effect size and p-values, CI and p-values, One- and two- group tests (continuously scaled data)
- ANOVA

Sample datasets like sample papers from the working groups or recent
experiments can be submitted to be analyzed during the workshops.