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Regression analysis with Generalized Linear Models in Python

February 10 @ 3:30 pm - 5:00 pm

Rackham Building, Earl Lewis Room, 3rd Floor East

This workshop will cover fitting generalized linear models (GLMs) in Python, using the Statsmodels package.  We will cover logistic regression, but the Poisson, negative binomial, and gamma regression. We will provide an overview of the underlying foundation for GLMs, focusing on the mean/variance relationship and the link function.  Participants should have familiarity with linear regression and (ideally) with logistic regression, but prior exposure to other GLMs is not required.

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

Details

Date:
February 10
Time:
3:30 pm - 5:00 pm
Event Category:

Venue

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

Organizer

CSCAR
Phone:
734-764-7828
Website:
https://cscar.research.umich.edu/

Other

Presenter(s)
Kerby Shedden