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Linear mixed models in Python

March 8 @ 2:00 pm - 4:00 pm

Rackham Building, Earl Lewis Room, 3rd Floor East

Mixed models (also known as multilevel models or random effects models) are used in research involving data with repeated measures per observation unit.  The Python statsmodels package is able to fit a variety of mixed models including variance components models, models for longitudinal data, and models with crossed effects.  We will cover the basics of mixed models, then present examples highlighting the capabilities of this Python package.

Details

Date:
March 8
Time:
2:00 pm - 4:00 pm
Event Category:
Event Tags:
,
Website:
http://cscar.research.umich.edu/events/category/workshops/

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

Class size
36
U-M Affiliated Fee
0
Register
Instructors
Kerby Shedden