Generalized linear models are a class of models that generalize the linear models used for regression and analysis of variance. They allow for more general mean structures and more general distributions than regression and analysis of variance. Log-linear models for Poisson data and logistic regression are examples of generalized linear models. This chapter provides an introduction.