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Generalized estimating equations in Python

February 5 @ 2:00 pm - 4:00 pm

Rackham Building, Earl Lewis Room, 3rd Floor East

GEE is an extension of the generalized linear modeling (GLM) framework for dependent data.  GEE can be used with longitudinal data, clustered data, and other forms of dependent data where a GLM may not be appropriate.  In this workshop we will discuss fitting models using GEE in Python with the Statsmodels package.  We will briefly cover the underlying foundation for GEE, but will mainly focus on practical aspects of utilizing GEE in Python, through several case studies.  More advanced topics including model selection and regularized fitting may be covered, depending on student interest.

Participants should bring a laptop if they want to work with the examples during the presentation, but this is optional.

Details

Date:
February 5
Time:
2:00 pm - 4:00 pm
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

Register
Presenter(s)
Kerby Shedden