The course is built on lectures and computer exercises with assignments. The main topics are:
- Design of experiments.
- Analysis of variance.
- Generalized linear models.
- Non-parametric methods.
- Multivariate statistical methods.
The content of the final project in the course depends on what specific methods and type of data the participants have in their research project.
Three weeks of full-time studies
A basic course in statistics is required. The course is primarily for students at the PhD level who already have collected some data in their research project.