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 ...

The MIXED procedure provides easy accessibility to a variety of mixed models useful in many common statistical analyses, including split-plot designs, repeated measures, random coefficients, best ...

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 ...

Linear mixed-effects models are frequently used to analyze repeated measures data, because they model flexibly the within-subject correlation often present in this type of data. The most popular ...

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 ...