Previous video: https://youtu.be/Gvf815Mz-mU
Next video: (in the making)
In this fourth video of the series, we have a look at overdispersion. Causes, detection and remediation are discussed.
R & Python example scripts: https://github.com/FransRodenburg/Biostatistics/tree/main/GLM/Part%204%20-%20Overdispersion
0:00 Introduction
0:37 Overdispersion
1:35 Cause 1 - Dependency
4:18 Cause 2 - External influence
5:11 Cause 3 - Outliers
5:52 Cause 4 - Zero-inflation
6:22 How to detect overdispersion
7:19 How to deal with overdispersion
11:38 Underdispersion