Multiple Comparisons and Multiple Tests Using SAS, Second Edition

Peter H. Westfall · Randall D. Tobias · Russell D. Wolfinger

јан 2011. · SAS Institute

O ovoj e-knjizi

Provides 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.

O autoru

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, Ph.D., is Director of Scientific Discovery and Genomics at SAS Institute Inc., where he has worked since 1989. Before leading SAS scientific efforts, he authored the MIXED, MULTTEST, KDE, and NLMIXED procedures in SAS/STAT®.