Mixed Models

Course description

Requirements: Programming skills with R, e.g. course Introduction to R and knowledge of regression models, e.g. course Introduction to Statistics. Basic knowledge on applying ggplot2 functions is advantageous but not mandatory (e.g. course Graphics with R).

Your profit: The participants will be taught the limits of linear regression in the case of repeated measurements. A new model class called “mixed models” will be explained, which is able to deal with repeated measurements. Besides discussions on the interpretation and theory also ideas how to run the models with R and exercises will be provided.

Topics: This introductory course on Mixed Models covers:

  • Limits of linear regression in case of repeated measurements
  • Introduction of mixed models
  • Random intercept models
  • Random slope models
  • Interpretation and application of mixed models using R


The course consists of theoretical lessons on mixed models, how to apply and how to interprete mixed models. Theoretical lessons will be followed by hands-on examples with best-practice solutions in R.
During the Corona-pandemic the course is held as an online course. Please consider the following constraints:

  • It will be held online via the software Zoom.
  • Please check before hand on zoom.us/test whether your computer is compatible with the tool. (No registration necessary, but you have to download some tools)
  • A stable internet connection is absolutely necessary, optimal would be a LAN access.
  • You do NOT need to have a microphone or camera, since we offer a written chat interaction from your side. However, having a camera and a microphone is advantageous.

Duration: 2 Days

Language: English


  • Material for the course can be found here*.
  • Please install the necessary R-packages prior to the course. The packages are listed in "Materials_MixedModels.html" which is part of the linked ZIP-folder.
  • Please be aware that the materials will be updated shortly before the next course.

Dates and Application: You can check the current dates and whether the courses are already fully booked here*.
Please apply via the forms of the HR Development department*


 * Links marked with * are only available for HMGU staff.