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Mixed Effects Modeling in Stata

October 24 @ 9:00 am - 11:00 am

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).

Details

Date:
October 24
Time:
9:00 am - 11:00 am
Event Category:

Venue

Rackham Building, Earl Lewis Room, 3rd Floor East
915 E. Washington St.
Ann Arbor, MI 48109 United States

Organizer

CSCAR
Email:
cscar@umich.edu
Website:
cscar.research.umich.edu

Other

Presenter(s)
Josh Errickson
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