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 ...

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 ...

Just as PROC GLM is the flagship procedure for fixed-effect linear models, the MIXED procedure is the flagship procedure for random- and mixed-effect linear models. PROC MIXED fits a variety of mixed ...

Journal of Computational and Graphical Statistics, Vol. 15, No. 1 (Mar., 2006), pp. 58-81 (24 pages) Mixed-effects models have become a popular approach for the analysis of grouped data that arise in ...