Using mixed effects models to quantify dependency among repeated measures Using mixed effects models to quantify dependency among repeated measures Course Topics Data may exhibit dependencies for many ...

Course TopicsThis course will discuss the concept of random effects, why they are called random effects and how they are incorporated in the framework of mixed models. The primary focus of the course ...

Normality of random effects is a routine assumption for the linear mixed model, but it may be unrealistic, obscuring important features of among-individual variation. We relax this assumption by ...

Mixed-Effects Location Scale Model: A statistical framework that simultaneously estimates the mean (location) and variability (scale) of longitudinal data, incorporating both fixed and random ...

Intuition suggests that altering the covariance structure of a parametric model for repeated-measures data alters the variances of the model's estimated mean parameters. The purpose of this article is ...