The course is built on lectures and computer exercises with assignments. The main topics are:
- Design of experiments.
- Analysis of variance.
- Regression.
- 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.
Extent:
Three weeks of full-time studies
Prerequisites
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.