We’ll discuss mixed model regression (also known as multi-level models or hierarchical linear models) in this session which is used for repeated measures data or data which has a clustering element.  We’ll start with a theoretical overview, discuss choosing an appropriate model, fitting the models, checking assumptions and post-hoc analysis. We’ll also cover diagnosing convergence issues. Participants should have basic familiarity with Stata and some working knowledge of linear regression (ordinal least squares).