Nijmegen, Netherlands

Regression 2: Logistic Regression and General Linear Models: Binary, Ordered, Multinomial and Count Outcomes​

​​Social scientists are often confronted with outcome variables that are not linear, such as binary, or ordinal survey items, or event counts. The aim of this course is to make students comfortable with applying GLM regression techniques.

Course leader

Julia Koltai

Target group

Master
PhD
PostDoc
Professional

Credits info

2 EC
With the possibility to earn up to 4 credits. For more information visit our website.

Fee info

EUR 645: Fee for students and PhDs
EUR 995: Regular fee