Multiple Comparisons and Multiple Tests Using SAS, Second Edition (Hardcover edition)

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

Description

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.

This book is part of the SAS Press program.

Sujets

• Getting Started
• Statistical model
• Macros

Informations

• Publié par: SAS Institute
• Date de parution: 18 juillet 2011
• Nombre de lectures: 0
• EAN13: 9781607648857
• Langue: English
• Poids de l'ouvrage: 13 Mo

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Contents


Preface xi
About the Authors xvii
Acknowledgments xvii

Chapter 1 Introduction ................................................................. 1
1.1 The Multiplicity Problem .............................................................................................. 2
1.2 Examples of Multiplicity in Practice ........................................................................... 5
1.3 When Are Multiple Comparisons/Multiple Testing Methods Needed? ................ 10
1.4 Selecting an MCP Using This Book .......................................................................... 10
1.5 Controversial Aspects of MCPs ................................................................................ 15
1.6 Chapter 1 Problems ................................................................................................... 18
1.7 Solutions to Chapter 1 Problems ............................................................................. 19
Chapter 2 Concepts and Basic Methods for Multiple
Comparisons and Tests .............................................. 25
2.1 Introduction ................................................................................................................. 26
2.2 Families of Hypotheses or Inferences ..................................................................... 33
2.3 Error Rates .................................................................................................................. 34
2.4 Bonferroni and Šidák Methods ................................................................................. 42
2.5 Graphical Presentation of Multiple Testing Results .............................................. 51
2.6 Adaptive Methods ...................................................................................................... 54
2.7 Concluding Remarks ................................................................................................. 56
2.8 Chapter 2 Problems ................................................................................................... 56
2.9 Solutions to Chapter 2 Problems ............................................................................. 59
Chapter 3 Overview of Simultaneous Confidence Interval
and Testing Methods in Linear Models ....................... 69
3.1 Introduction ................................................................................................................. 70
3.2 Some Typical Families of Inferences ....................................................................... 78
3.3 The MaxT Method for a General Set of Linear Functions ...................................... 82
3.4 Calculating the Critical Value .................................................................................... 86
3.5 The Simple Monte Carlo Solution for Estimating ............................................ 87 α
3.6 Large Sample and Approximate Methods ............................................................... 90
3.7 Chapter 3 Problems ................................................................................................... 91
3.8 Solutions to Chapter 3 Problems ............................................................................. 93 &
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Chapter 4 Multiple Comparisons among Treatment