Multiple Comparisons and Multiple Tests Using SAS

Peter H. Westfall

ISBN 10: 1607647834 / ISBN 13: 9781607647836

Published by SAS Institute, 2011

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9781607647836

Bibliographic Details

• Title: Multiple Comparisons and Multiple Tests Using SAS
• Publisher: SAS Institute
• Publication Date: 2011
• Language: English
• ISBN 10: 1607647834
• ISBN 13: 9781607647836
• Binding: Taschenbuch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 280W x 210H x 35D millimeters 280 millimeters width by 210 millimeters height by 35 millimeters depth
• Weight: 1550 grams

About this title

Synopsis

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.

About the Author

Peter H. Westfall 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 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 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®.