This workshop will cover fitting generalized linear models (GLMs) in Python, using the Statsmodels package.  We will cover logistic regression, but the majority of the time we will focus on other GLMs including 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.