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 ...

Ian Abramson, A Recursive Regression for High-Dimensional Models, with Application to Growth Curves and Repeated Measures, Journal of the American Statistical Association, Vol. 83, No. 404 (Dec., 1988 ...

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 ...

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 ...