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Mixed Effects Modeling in Stata
February 8 @ 2:00 pm - 4:00 pm
Rackham Building, Earl Lewis Room, 3rd Floor East
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).