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 ...

José C. Pinheiro, Edward C. Chao, Efficient Laplacian and Adaptive Gaussian Quadrature Algorithms for Multilevel Generalized Linear Mixed Models, Journal of Computational and Graphical Statistics, Vol ...

This general framework accommodates many common correlated-data methods, including variance component models and repeated measures analyses. A few other procedures in SAS/STAT software offer limited ...