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, ...

Obtaining estimates that are nearly unbiased has proven to be difficult when random effects are incorporated into a generalized linear model. In this paper, we propose a general method of adjusting ...

This is a preview. Log in through your library . Abstract We consider the problem of fitting a generalized linear model to overdispersed data, focussing on a quasilikelihood approach in which the ...