Categorical Data Analysis Using the SAS System

This book discusses categorical data analysis and its implementation with the SAS System. Both nonparametric methods and model-based parametric methods are discussed. Specific topics include association in 2-by-2 tables, Mantel-Haenszel methods for assessing association in sets of tables, logistic regression for dichotomous and polytomous responses, weighted least squares regression, repeated measurements analysis, and loglinear models. Special topics include bioassay and the analysis of categorized time-to-event data. The methodology is illustrated with practical examples using the FREQ, LOGISTIC, CATMOD, and GENMOD procedures.

Supports releases 6.07 and higher of SAS software.

Maura E. Stokes

Maura E. Stokes is Manager of Statistical Applications at SAS Institute

Inc. She received her DrPH in Biostatistics from the University of

North Carolina at Chapel Hill and has taught and written about

categorical data analysis for over ten years.

Charles S. Davis

Charles E. Davis is Associate Professor of Biostatistics at the University

of Iowa. He received his PhD in Biostatistics from the University of

Michigan. His research and teaching interests include categorical data analysis

and methods for the analysis of repeated measures. Prior to his

academic career, he worked as a statistician at a medical center and

in the pharmaceutical industry.

Gary G. Koch

Gary G. Koch is Professor of Biostatistics and Director of the

Biometrics Consulting Laboratory at the University of North Carolina

at Chapel Hill. He has played a prominent role in the field of

categorical data analysis for the last 30 years. He teaches classes

and seminars in categorical data analysis, consults in areas of

statistical practice, conducts research, and trains many Biostatistics

students.