The regression models appropriate for counted data have seen little use in psychology. This
article describes problems that occur when ordinary linear regression is used to analyze …

Although powerful and flexible, the method of generalized linear models (GLM) is limited in
its ability to accurately deal with longitudinal and clustered data. Developed specifically to …

Generalized Linear Models and Extensions, Second Edition provides a comprehensive
overview of the nature and scope of generalized linear models (GLMs) and of the major …

The essential introduction to the theory and application of linear models—now in a valuable
new edition Since most advanced statistical tools are generalizations of the linear model, it …

This report attempts to give nontechnical readers some insight into how a multilevel
modelling framework can be used in longitudinal studies to assess contextual influences on …

Researchers are often interested in analyzing data that arise from a longitudinal or clustered
design. Although there are a variety of standard likelihood-based approaches to analysis …

Generalized linear models are a general class of regressionlike models for continuous and
categorical response variables. Signal detection models can be formulated as a subclass of …

For enumeration of microzooplankton (20–200 μm size fraction), including planktonic
ciliates, water samples are usually fixed and preserved, then concentrated by sedimentation …

Objective.—To determine whether insurance status (managed care vs traditional
commercial and Medicare) influences resource consumption (as measured by length of stay …

Despite recent advances in algorithmic fairness, methodologies for achieving fairness with
generalized linear models (GLMs) have yet to be explored in general, despite GLMs being …