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.

Nonlinear multilevel mixed-effects models

Linear Mixed Effects Model – Tools for Teaching Quantitative Thinking

Confusing Statistical Term #10: Mixed and Multilevel Models

Fixed vs Random vs Mixed Effects Models - Examples - Analytics Yogi

Nonlinear mixed-effects model - Wikipedia

Mixed models in R: a primer

hypothesis testing - Mixed effects model adding covariate vs adding random effect - Cross Validated

Mixed Effect Regression

Using Mixed-Effects Models For Linear Regression, by Guido Vivaldi

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