Synopsis
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.
"synopsis" may belong to another edition of this title.
About the Author
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.
"About this title" may belong to another edition of this title.
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