This paper proposes an extension of generalized linear models to the analysis of longitudinal data. We introduce a class of estimating equations that give consistent estimates of the regression ...

This short course will introduce the concept, theory, and application of GLM. Moreover, we will discuss some techniques commonly used in categorical data analysis, such as contingency table analysis, ...

Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous or discrete (e.g. binary or frequency). This course covers: What are GLMs? When should we use ...

The theory of generalized linear models and quasi-likelihood provides a flexible framework for analyzing non-normal data. In this article, we demonstrate how this theory can be extended to include the ...