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Multiple imputation and missing data methods in Python

May 25 @ 2:00 pm - 4:00 pm

Rackham Building, Earl Lewis Room, 3rd Floor East

Multiple Imputation via Chained Equations (MICE) is a convenient and flexible approach to conducting statistical analysis with complex patterns of missing data.  In this workshop, we will review the key principles of statistical analysis with missing data, then present several case studies using the MICE implementation in the Python Statsmodels package.

Details

Date:
May 25
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

Other

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