The main focus of this course will be on linear mixed models. That is, linear models with fixed effects and random effects. Some topics we’ll discuss are: When would I want to use a random effect? How does estimation change for random versus fixed effects? How does inference change for random versus fixed effects? How are random effects related to correlated data? Examples in SAS will be provided.