Generalized linear models (GLMs) extend linear regression to models with a non-Gaussian, or even discrete, response. This text thoroughly covers GLMs, both theoretically and computationally, with an emphasis on Stata. The theory consists of showing how the various GLMs are special cases of the exponential family.