Linear Models and their application in R
Sept 21 - Oct 9, 2026; Old lecture hall, German Primate Center
The workshop by Roger Mundry introduces linear models and their application in R. The course is part-time lecture, part-time hands-on workshop and introduces various statistical models from simple regression to Generalized Linear Mixed Models. Participants furthermore learn how to visualize their data and how to interpret model assumptions and diagnostics.

Data simulation for linear models in R
March 2-20, 2026, 10 AM - 2 PM; Lecture Hall West, German Primate Center, Kellnerweg 4, 37077 Göttingen
In this three-week workshop, Roger Mundy teaches how to simulate data in a framework of linear models. Simulated data has the advantage that the “truth” is known. Hence, one can compare what a model reveals with truth. The perhaps most well-known use of simulated data is 'power analysis', i.e. determining the probability of an analysis to reveal significance, given a certain effect and sample size, an alpha level, and a test. However, it can also be used to test, for instance, if a method is working as planned, how an analysis behaves if assumptions are violated, or to estimate the width of confidence intervals.
For more information and registration, please visit the workshop page.