GLM Part 4 - Overdispersion

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