ABSTRACT
RICHARD A. JOHNSON University of Wisconsin, Madison, Wisconsin
1. INTRODUCTION Random effect models have been used for several decades in the context of linear models and the analysis of variance. They are introduced into the models as an additive term to model variation from subject to subject and, in most cases, their influence on the covariance structure of the response variables is well understood. It is also possible to perform many statistical analyses.
