Common Statistical Methods for Clinical Research with SAS® Examples Third Edition > D.2 How to Determine the Hypotheses Tested - Pg. : Safari Books Online

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Common Statistical Methods for Clinical Research with SAS® Examples Third Edition

Common Statistical Methods for Clinical Research with SAS® Examples Third Edition

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Contents

PREFACE TO THE THIRD EDITION

PREFACE TO THE SECOND EDITION

PREFACE TO THE FIRST EDITION

Ch. 1. Introduction & Basics

Ch. 2. Topics in Hypothesis Testing

Ch. 3. The Data Set TRIAL

Ch. 4. The One-Sample t-Test

Ch. 5. The Two-Sample t-Test

Ch. 6. One-Way ANOVA

Ch. 7. Two-Way ANOVA

Ch. 8. Repeated Measures Analysis

Ch. 9. The Crossover Design

Ch. 10. Linear Regression

Ch. 11. Analysis of Covariance

Ch. 12. The Wilcoxon Signed-Rank Test

Ch. 13. The Wilcoxon Rank-Sum Test

Ch. 14. The Kruskal-Wallis Test

Ch. 15. The Binomial Test

Ch. 16. The Chi-Square Test

Ch. 17. Fisher's Exact Test

Ch. 18. McNemar's Test

Ch. 19. The Cochran-Mantel-Haenszel Test

Ch. 20. Logistic Regression

Ch. 21. The Log-Rank Test

Ch. 22. The Cox Proportional Hazards Model

Ch. 23. Exercises

Appx. A. Probability Tables

Appx. B. Common Distributions Used in Statistical Inference

Appx. C. Basic ANOVA Concepts

Appx. D. SS Types I, II, III, and IV Methods for an Unbalanced Two-Way Layout

D.1 SS Types Computed by SAS

D.2 How to Determine the Hypotheses Tested

D.3 Empty Cells

D.4 More Than Two Treatment Groups

Appx. E. Multiple Comparison Methods

Appx. F. Data Transformations

Appx. G. SAS Code for Exercises in Chapter 23

Appx. H. Finding Adjusted Alphas for Interim Analyses−SAS Examples

Appx. I. Commonly Used Parameterizations in Logistic Regression Models

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D.2 How to Determine the Hypotheses Tested

Note: This section assmes that the reader is familiar with vector notation.

You can express the mean response for cell i−j in terms of model parameters,

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