Data in real life is messy and not as ideal as what we see in text books. Linear mixed modeling is a technique used in statistical analysis to deal with data that has hierarchical or  clustered levels that are too complicated to be analyzed using general linear modelling techniques.

This workshop is intended to demonstrate examples of when linear mixed modeling  is appropriate and how to perform these analyses in SAS studio.

McLaughlin Library, Room 289