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.

Chapter 9 Random Effects

Fixed- and Mixed-Effects Regression Models in R

Bayesian Approaches Mixed Models with R

Linear mixed effects models - random slopes and interactions

A multivariate nonlinear mixed effects model for longitudinal image analysis: Application to amyloid imaging - ScienceDirect

Introduction to linear mixed models

Generalized linear mixed-effects model of CD4 T cell counts with time

r - Specification of longitudinal mixed-effects model with varying treatment times, varying observation times in lme4 - Cross Validated

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