We propose a general, nonlinear mixed effects model for repeated measures data and define estimators for its parameters. The proposed estimators are a natural combination of least squares estimators ...

Nonlinear random-effects models together with a variety of estimation procedures have been proposed for the analysis of such data. This paper is concerned with a straightforward procedure for ...

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 ...

PROC GLM fits some random-effects and repeated-measures models, although its methods are based on method-of-moments estimation and a portion of the output applies only to the fixed-effects model. PROC ...

This section provides an overview of a likelihood-based approach to general linear mixed models. This approach simplifies and unifies many common statistical analyses, including those involving ...

Course TopicsThis course will cover repeated measures models. The main focus will be implementation of such models and interpretation of the output and briefly covering why we need repeated measures ...