This paper reviews research on combining artificial neural nets, and provides an overview
of, and an introduction to, the papers contained in this special issue, and its companion …

Political scientists are often called upon to estimate models in which the standard
assumption that the data are conditionally independent can be called into question. I review …

Applauded for its clarity, this accessible introduction helps readers apply multilevel
techniques to their research. The book also includes advanced extensions, making it useful …

A new edition of the definitive guide to logistic regression modeling for health science and
other applications This thoroughly expanded Third Edition provides an easily accessible …

This book provides the most comprehensive treatment to date of microeconometrics, the
analysis of individual-level data on the economic behavior of individuals or firms using …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

Many economic and social surveys are designed as panel studies, which provide important
data for describing social changes and testing causal relations between social phenomena …

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 …

Summary 1 Resource selection estimated by logistic regression is used increasingly in
studies to identify critical resources for animal populations and to predict species …

Objectives. We examined the relationship between levels of household firearm ownership,
as measured directly and by a proxy—the percentage of suicides committed with a firearm …