Bo HU, Jun SHAO, Mari PALTA, Variability explained by covariates in linear mixed-effect models for longitudinal data, The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 38, ...

An alternative approach to canonical correlation, based on a general linear multivariate model, is presented. Properties of principal component analysis are used to help explain the method.

Generalized Linear Models Generalized Linear Models Course Topics Many response variables are handled poorly by regression models when the errors are assumed to be normally distributed. For example, ...

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, ...

The model is discussed using a general framework, enabling students to appreciate fully the generality of the model. The authors present and explain in detail actual SAS code for analyzing general ...