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Survival analysis in Python

April 5 @ 2:00 am - 4:00 pm

Rackham Building, Earl Lewis Room, 3rd Floor East

We will cover a few basic methods for analysis of time-to-event data (survival analysis), including estimation of the marginal survival distribution using the Kaplan-Meier method, and hazard regression using the proportional hazards (Cox) model.  The main focus of the workshop is conducting these analyses in Python using the Statsmodels package.  Participants should have basic familiarity with Python, and knowledge of basic statistics including regression methods.

Details

Date:
April 5
Time:
2:00 am - 4:00 pm
Event Category:
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

Other

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