• Print  |
  • Feedback  |


Mixed Model Procedures

Mixed Models

A mixed model is a model that contains fixed and random effects. Over the last few decades virtually every form of classical statistical model has been enhanced to accommodate random effecs. The linear model has been extended to the linear mixed model, generalized linear models have been extended to generalized linear mixed models, and so on. In parallel with this trend, SAS/STAT software offers a number of classical and contemporary mixed modeling tools.

Below are highlights of the capabilities of the SAS/STAT procedures that fit mixed models: