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, ...

Using a hypothetical data set, the authors provide concrete examples to illustrate that canonical correlation analysis is a general linear model, subsuming other parametric procedures as special cases ...

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 ...

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 ...