
Common Statistical Methods for Clinical Research with SAS Examples, Third Edition
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Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, is an applications book with minimal theory. Each section begins with an overview helpful to nonstatisticians and then drills down into details that will be valuable to statistical analysts and programmers. Further details, as well as bonus information and a guide to further reading, are presented in the extensive appendices. This text is a one-source guide for statisticians that documents the use of the tests used most often in clinical research, with assumptions, details, and some tricks--all in one place.
This book is part of the SAS Press program.
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Content
- Intro
- Contents
- Preface to the Third Edition
- Preface to the Second Edition
- Preface to the First Edition
- 1 Introduction & Basics
- 2 Topics in Hypothesis Testing
- 3 The Data Set TRIAL
- 4 The One-Sample t-Test
- 5 The Two-Sample t-Test
- 6 One-Way ANOVA
- 7 Two-Way ANOVA
- 8 Repeated Measures Analysis
- 9 The Crossover Design
- 10 Linear Regression
- 11 Analysis of Covariance
- 12 The Wilcoxon Signed-Rank Test
- 13 The Wilcoxon Rank-Sum Test
- 14 The Kruskal-Wallis Test
- 15 The Binomial Test
- 16 The Chi-Square Test
- 17 Fisher's Exact Test
- 18 McNemar's Test
- 19 The Cochran-Mantel-Haenszel Test
- 20 Logistic Regression
- 21 The Log-Rank Test
- 22 The Cox Proportional Hazards Model
- 23 Exercises
- Appendix A: Probability Tables
- Appendix B: Common Distributions Used in Statistical Inference
- Appendix C: Basic ANOVA Concepts
- Appendix D: SS Types I, II, III, and IV Methods for an Unbalanced Two-Way Layout
- Appendix E: Multiple Comparison Methods
- Appendix F: Data Transformations
- Appendix G: SAS Code for Exercises in Chapter 23
- Appendix H: Finding Adjusted Alphas for Interim Analyses-SAS Examples
- Appendix I: Commonly UsedParameterizations in LogisticRegression Models
- References
- Index
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