Appendix E. Multiple Comparison Methods

  • E.1 Introduction 471

  • E.2 Multiple Comparisons of Means 472

  • E.3 Multiple Comparisons of Binomial Proportions 482

  • E.4 Summary 487

E.1 Introduction

When you obtain a significant F-test in ANOVA for comparing responses among several (>2) treatment groups, your next step is to try to determine where the differences lie. Chapter 6 ("One-Way ANOVA") introduces the concept of multiple comparisons by demonstrating a method of all pairwise comparisons and a method to compare each treatment with a control. These comparisons are easily carried out using the T and DUNNETT options, respectively, in the GLM procedure. Chapter 6 also shows how you can test the significance of customized linear contrasts of the treatment means ...

Get Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, 3rd Edition now with the O’Reilly learning platform.

O’Reilly members experience live online training, plus books, videos, and digital content from nearly 200 publishers.