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Mixed models in Python

May 10, 2017 @ 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:
May 10, 2017
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

Other

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