The following is an algorithm for fitting the specified model using GEEs. Note that this is not in general a likelihood-based method of estimation, so that inferences based on likelihoods are not ...

Course TopicsIn many applications, the response variable is not Normally distributed. GLM can be used to analyze data from various non-Normal distributions. In this short course, we will introduce two ...

Stephen G. Walker, Bani K. Mallick, Hierarchical Generalized Linear Models and Frailty Models with Bayesian Nonparametric Mixing, Journal of the Royal Statistical Society. Series B (Methodological), ...

Testing a low-dimensional null hypothesis against a high-dimensional alternative in a generalized linear model may lead to a test statistic that is a quadratic form in the residuals under the null ...

The new approach recognizes the discrete nature of ignition counts by using generalized linear and generalized linear mixed models for the first time in this type of application. It includes careful ...

Application of generalized linear modeling to catch rate analysis of Western Mediterranean fisheries: the Castellón trawl fleet as a case study Natural History Museum. Object Details author Goñi, R ...

Generalized Estimating Equations This section illustrates the use of the REPEATED statement to fit a GEE model, using repeated measures data from the "Six Cities" study of the health effects of air ...