sponsored by Helmholtz Information & Data Science Academy (HIDA)
in cooperation with Core Facility Statistical Consulting at Helmholtz Zentrum München - German Research Center for Environmental Health (Helmholtz Munich)
Mixed models
“Mixed Models” address datasets containing multiple measurements of the same individuals or of groups, a situation in which classical statistical approaches are biased. In this course, we begin with a summary of linear models and their limitations, then explain “Mixed Models”, their applicability, and usage. We will cover random intercept and random slope models in detail. Besides discussions on the interpretation and theory also ideas how to run the models with R and exercises will be provided.
Prerequisites: Programming skills with R, e.g. course “Introduction to R” and knowledge of regression models, e.g. course “Introduction to Statistics”. Some practice in ggplot2 is also welcome.
For more details, see here.
Course Days and Times
May 11, 2023, 9 am - 5 pm
May 12, 2023, 9 am - 5 pm
NOTE: Registration will open 4 weeks before the course's starting date.
