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 (e.g. course “Graphics with R”).
For more details, see here.
Course Days and Times
June 4, 2024, 9 am - 5 pm
June 5, 2024, 9 am - 5 pm
NOTE: Registration will open May 7th, 2024, 12 pm.
Additional Information
The course content is coordinated, so we strongly recommend that you do not miss any part of the course. To receive a certificate we expect full time and active participation.
Your registration for this course is binding. If you need to leave/miss the course for a period of time, please let us know in advance.
There is no waiting list for this course! If someone withdraws from a course, their place is automatically reopened. We therefore advise you to keep an eye on the registration in case the course is full and you would like to attend. Also, this course will be offered again in the future - you can check our HIDA Course Catalog for updates.
This course is free of charge.
