Abstract Analysis of hospital processes is essential for development of improved methods,
policies and decision tools for overall performance improvement of the hospital system …

This article review methodologies used for analyzing ordered categorical (ordinal) response
variables. We begin by surveying models for data with a single ordinal response variable …

A valuable overview of the most important ideas and results in statistical modeling Written by
a highly-experienced author, Foundations of Linear and Generalized Linear Models is a …

Praise for the Second Edition" A must-have book for anyone expecting to do research and/or
applications in categorical data analysis."—Statistics in Medicine" It is a total delight reading …

This book unifies and extends latent variable models, including multilevel or generalized
linear mixed models, longitudinal or panel models, item response or factor models, latent …

A mixed‐effects multinomial logistic regression model is described for analysis of clustered
or longitudinal nominal or ordinal response data. The model is parameterized to allow …

For count responses, the situation of excess zeros (relative to what standard models allow)
often occurs in biomedical and sociological applications. Modeling repeated measures of …

Generalized linear models (GLMs); represent a class of regression models for several types
of dependent variables where the linear predictor includes only fixed effects. Incorporation of …

We argue that current acculturation research offers an incomplete picture of the
psychological changes taking place in contemporary multicultural societies. Several …

Reflecting the usefulness of multilevel analysis and the importance of categorical outcomes
in many areas of research, generalization of multilevel models for categorical outcomes has …