Gary G. Koch
Professor, University of North Carolina at Chapel Hill
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.
By This Author
Analysis of Clinical Trials Using SAS®: A Practical Guide, Second Edition
Edited by Alex Dmitrienko and Gary G. Koch
Analyze your clinical trial data with ease. This book bridges the gap between modern statistical methodology and real-world clinical trial applications. Step-by-step instructions illustrated with examples from actual trials and case studies serve to define a statistical method and its relevance in a clinical trials setting and to illustrate how to implement the method rapidly and efficiently using the power of SAS software.
*Our books are also available in print and e-book formats
from your local bookstore or favorite online bookseller.
Categorical Data Analysis Using SAS®, Third Edition
By Maura Stokes, Charles S. Davis, and Gary G. Koch
Statisticians and researchers will find this book to be a useful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS. Practical examples from a broad range of applications illustrate the use of the FREQ, LOGISTIC, GENMOD, NPAR1WAY, and CATMOD procedures in a variety of analyses.
*Our books are also available in print and e-book formats
from your local bookstore or favorite online bookseller.
Categorical Data Analysis Using the SAS System, Second Edition
By Maura Stokes, Charles S. Davis, and Gary G. Koch
*Replaced by Categorical Data Analysis Using SAS®, Third Edition
Featured Authors
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Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.
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Terisa Roberts is a director and Global Solution lead for Risk Modeling and Decisioning at SAS. She has extensive experience in quantitative risk management, regulatory compliance, and model governance and validation. She has worked in financial services, telecommunications, government, energy, and retail sectors.
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Todd Case has been working in the pharmaceutical industry as a statistical programmer for over 20 years. He completed his MS in Epidemiology from Columbia University and has worked at Forest Laboratories (now Allergan), Genentech, Bristol-Myers Squibb, and Biogen. He currently works at Vertex Pharmaceuticals.
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Robert N. Rodriguez retired from SAS in 2018 after serving as a senior director in research and development. Bob received a PhD in statistics from the University of North Carolina at Chapel Hill and was a research statistician at General Motors Research Laboratories before joining SAS.