Mixed Effects Model

A mixed effects model is used for determining the effects of one or more independent variables on a dependent variable when there are repeated measures from the same unit of observation.

Mixed Effects Model

Workshop 6: Linear mixed models

Chapter 9 Random Effects

Workshop 9.1: Mixed effects models

Mixed Effects Models - Random Slopes

Linear mixed effects models - random slopes and interactions

Linear Mixed-Effects Models Using R: A Step-by-Step Approach

Perils and pitfalls of mixed-effects regression models in biology [PeerJ]

Linear mixed effects models

r - Plots to visualize results of linear mixed effects model of a longitudinal study - Cross Validated

Mixed Effects Model

Results from linear mixed effects models of growth measurements.

Implementing Mixed-Effects Models in R and Python