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Mixed models in Python
May 10 @ 2:00 pm - 4:00 pm
Rackham Building, Earl Lewis Room, 3rd Floor East
Mixed models (also known as multilevel models or random effects models) are used in research involving data with repeated measures per observation unit. The Python statsmodels package is able to fit a variety of mixed models including variance components models, models for longitudinal data, and models with crossed effects. We will cover the basics of mixed models, then present examples highlighting the capabilities of this Python package.