The document provides an overview of the generalized linear model (GLM*). It discusses that GLM* extends the general linear model (GLM) to allow for non-normal distributions in outcome variables and non-linear relationships between predictors and outcomes. GLM* is appropriate when simple transformations or product terms in GLM are not sufficient. GLM* generalizes the linear model by adding a link function. Examples of GLM* models include binary logistic regression using the logit link and Poisson regression using the log link.