New and extensively updated for SAS 9 and later! Have you ever felt that there was no multiple inference method that fit the particular constraints of your data? Or been overwhelmed by the many choices of procedures? Multiple Comparisons and Multiple Tests Using SAS, Second Edition, written by Peter Westfall, Randall Tobias, and Russell Wolfinger, solves both problems for you by providing cutting-edge methods, specialized macros, and proven "best bet" procedures. The specialized macros and dozens of real-world examples illustrate solutions for a broad variety of problems that call for multiple inferences. The book also discusses the pitfalls and advantages of various methods, thereby helping you decide which is the most appropriate for your purposes. If you are a researcher or scientist in pharmaceuticals, engineering, government, or medicine, you will find many methods applied to real data and examples from your field. The book includes specialized code and explanations throughout. It discusses in detail pairwise comparisons and comparisons with a control. Additional topics include general linear contrasts; multiple comparisons of multivariate means; and multiple inferences with mixed models, discrete data, and survival analysis.
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Peter H. Westfall, Ph.D., Horn Professor of Statistics, Department of Information Systems and Quantitative Sciences, Texas Tech University, has acted as a consultant for several large pharmaceutical companies, is an author of Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment and Multiple Comparisons Using R, and is former editor of The American Statistician. He is a fellow of the American Statistical Association and the American Association for the Advancement of Science.
Randall D. Tobias, Ph.D., is the Director for Linear Models Research and Development at SAS Institute Inc. In addition to leading much of the SAS research and development for multiple comparisons, Randy has himself developed and supported many procedures in SAS/STAT and SAS/QC software, including GLM, PLS, FACTEX, and OPTEX.
Russell D. Wolfinger, PhD, is Director of Scientific Discovery and Genomics at SAS, a department he started, where he leads research and development of JMP and SAS software solutions in the domains of genomics and clinical trials. Dr. Wolfinger devoted 10 years to developing and promoting SAS statistical procedures for mixed models and multiple testing. He has co-authored more than 100 publications, including three books. He is a Kaggle Grandmaster, as well as a Fellow of both the American Association for the Advancement of Science and the American Statistical Association.
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