An Annotated Bibliography of Methods for Analyzing Correlated Categorical Data

Mark Ashby, Genentech, South San Francisco, CA
John M. Neuhaus, Department of Epidemiology & Biostatistics, University of California, San Francisco
Walter W. Hauck, Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA
Peter Bacchetti, Division of Epidemiology & Biostatistics, University of California, San Francisco
David C. Heilbron, Department of Epidemiology & Biostatistics, University of California, San Francisco
Nicholas P. Jewell, Division of Biostatistics, School of Public Health, University of California, Berkeley
Mark R. Segal, Department of Epidemiology & Biostatistics, University of California, San Francisco
Robert E. Fusaro

Abstract

This paper provides an annotated bibliography of over 100 articles concerning methods for analyzing correlated categorical response data. Most of the papers listed here concern categorical regression models and estimation, with particular emphasis on binary responses. The papers are classified by several characteristics which group them according to common themes. The bibliography serves as a reference of methods for analysts of correlated categorical data, as well as for persons interested in methodologic work in this active area of statistical research.