In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension ... Categorical data analysis, including contingency table ...

x ijp]' The Generalized Estimating Equation of Liang and Zeger (1986) for estimating the p ×1 vector of regression parameters is an extension ... matrix that is often used in generalized linear models ...

The mean response is modeled as a logistic regression model using the explanatory ... Initial parameter estimates for iterative fitting of the GEE model are computed as in an ordinary generalized ...