Multiple comparisons and multiple tests using SAS

Designed for the researcher or scientist in pharmaceuticals, engineering, government, or medicine, includes specialized macros and dozens of real-world examples to illustrate solutions for a broad variety of problems that call for multiple inferences. Covers the pitfalls and advantages of various methods. Includes specialized code and explanations throughout. 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.

Introduction -- Concepts and basic methods for multiple comparisons and tests -- Overview of simultaneous confidence interval and testing methods in linear models -- Multiple comparisons among treatment means in te one-way balanced ANOVA -- Multiple comparisons among treatment means in the one-way unbalanced ANOVA -- Multiple comparisons in one-way ANCOVA models -- Using the ESTIMATE statement for tailor-made multiple comparisons -- Multiple comparisons in two-way and higher-way ANOVA and ANCOVA -- Multiple inferences for infinite sets of paremeters; confidence bands for regression functions -- Approximate multiple comparisons under heteroscedasticity -- Multiple comparisons in normally distributed models with non-independent observations -- Approximate (large-sample) multiple comparisons in parametric non-normally distributed models with independent or dependent observations -- Closed and stepwise testing methods -- Closed testing of pairwise comparisons and general contrasts -- Applying multiple comparisons procedures using PRC PLM -- Bootstrap and permutation-based multiple comparisons in univariate and multivariate models using PROC MULTTEST -- Multiple comparisons with binary…