In many applications of generalized linear mixed models (GLMMs), there is a hierarchical structure in the effects that needs to be taken into account when performing variable selection. A prime ...

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 80, No. 4 (2018), pp. 817-836 (20 pages) The problem of misspecification poses challenges in model selection. The ...

Keywords: Statistical analyses. Regression models. Post-earthquake ignitions. Data analyses. California. Ground shaking. Generalized linear mixed models. Goodness-of ...

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, ...