Categorical Data Analysis Using the SAS System

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SAS Institute, Jan 1, 2000 - Computers - 648 pages
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Discusses hypothesis testing strategies for the assessment of association in contingency tables and sets of contingency tables. Also discusses various modeling strategies available for describing the nature of the association between a categorical outcome measure and a set of explanatory variables.

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About the author (2000)

Maura E. Stokes is a Senior R&D Director at SAS Institute. 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 twenty-five years. She is a Fellow of the American Statistical Association.Charles S. Davis is President of CSD Biostatistics, Inc., a biostatistical consulting company in San Diego. He received his PhD in Biostatistics from the University of Michigan and is a Fellow of the American 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 had a prominent role in the field of categorical data analysis for the last forty-five years. He teaches classes and seminars in categorical data analysis, consults in areas of statistical practice, conducts research, and trains many Biostatistics students.

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