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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.