1.3 KiB
Abstract
This workshop will give a short introduction to mixed-effects models for longitudinal data. We will look at data sets where data was collected for subjects over several time points. The first part will be a basic introduction of the concept of random effects and how they extend linear regression. This is meant to get everybody on the same page and introduce some notation. We will fit the models together in R using the lme4 package. In the second part, we will extend the models into growth curve models to model time trends within and between subjects. Special focus will be on parameter interpretation and what should be kept in mind when fitting and interpreting growth curve models. This course is suited for novices to mixed-effects models who want to understand the basic concepts, but also for people with a bit more expertise who want to dig into more details and deepen their understanding of parameter interpretation.
Instructor
Dr. Nora Wickelmaier, statistics consultant at the Leibniz-Institut für Wissensmedien (IWM), Tübingen
Prerequisites
Participants will need to have installed:
- a current R version (https://cran.r-project.org/)
- an IDE for R (like RStudio or VSCode) or a text editor with syntax highlighting (like Vim or Notepad++)
- the R package lme4 (https://cran.r-project.org/package=lme4)