Unit 8 — Hierarchical data and GLMMs

Wednesday 28 October, 12:30–16:00

Modelling variation across grouped and nested experimental units

This class connects the physical hierarchy of animal-science studies to random effects and generalised linear mixed models.

Before class

Preparation on grouping, nesting, fixed effects, random effects, and GLMMs will be added here. ## In class Students will identify model structures from designs and fit hierarchical models in R. ## After class Practice interpreting variation and treatment effects from mixed models will be added here.