Analysis of grouped or longitudinal data using linear mixed models

Traditionally, linear models (linear regression and ANOVA) assume all observations are independent. In this course you will learn how to analyze more complex datasets

  • individuals measured repeatedly over time
  • individuals nested within another observational unit (e.g. students in a school, patients in a hospital, animals in a litter)

This course covers the basics of linear mixed models (aka multilevel modeling, longitudinal data-analysis, repeated measures analysis, analysis of panel data) , to deal with the research questions of linear regression and ANOVA, but accounting for dependencies withinthe data.

For this course, we offer the possibility to take an exam. For the PhD students in the faculties IOB and Applied Economics, this is a requirement to obtain a credits for these courses, but people from other faculties are allowed as well.
If you are interested in taking the exam, check the wants-to-take-exam-box in the registration form. Participating in the exam costs 10€, which is deduced automatically from your educational credit.