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Multiple Comparisons Using R

by: Bretz; Frank

Multiple Comparisons Using R

by: Bretz; Frank

ISBN 13:
9781584885740
ISBN 10:
1584885742
Edition: 1st
Format: Hardcover
Copyright: 07/27/2010
Publisher: Chapman & Hall/

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Summary

Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. It also presents a detailed description of available software implementations in R. The R packages and source code for the analyses are available at http://CRAN. R-project.org

List of Figures	p. ix
List of Tables	p. xi
Preface	p. xiii
Introduction	p. 1
General Concepts	p. 11
Error rates and general concepts	p. 11
Error rates	p. 11
General concepts	p. 17
Construction methods	p. 20
Union intersection test	p. 20
Intersection union test	p. 22
Closure principle	p. 23
Partitioning principle	p. 29
Methods based on Bonferroni's inequality	p. 31
Bonferroni test	p. 31
Holm procedure	p. 32
Further topics	p. 34
Methods based on Simes' inequality	p. 35
Multiple Comparisons in Parametric Models	p. 41
General linear models	p. 41
Multiple comparisons in linear models	p. 41
The linear regression example revisited using R	p. 45
Extensions to general parametric models	p. 48
Asymptotic results	p. 48
Multiple comparisons in general parametric model	p. 50
Applications	p. 52
The multcomp package	p. 53
The glht function	p. 53
The summary method	p. 59
The confint method	p. 64
Applications	p. 69
Multiple comparisons with a control	p. 70
Dunnett test	p. 71
Step-down Dunnett test procedure	p. 77
All pairwise comparisons	p. 82
Tukey test	p. 82
Closed Tukey test procedure	p. 93
Dose response analyses	p. 99
A dose response study on litter weight in mice	p. 100
Trend tests	p. 103
Variable selection in regression models	p. 108
Simultaneous confidence bands	p. 111
Multiple comparisons under heteroscedasticity	p. 114
Multiple comparisons in logistic regression models	p. 118
Multiple comparisons in survival models	p. 124
Multiple comparisons in mixed-effects models	p. 125
Further Topics	p. 127
Resampling-based multiple comparison procedures	p. 127
Permutation methods	p. 127
Using R for permutation multiple testing	p. 137
Bootstrap testing - Brief overview	p. 140
Group sequential and adaptive designs	p. 140
Group sequential designs	p. 141
Adaptive designs	p. 150
Combining multiple comparisons with modeling	p. 156
MCP-Mod: Dose response analyses under model uncertainty	p. 157
A dose response example	p. 162
Bibliography	p. 167
Index	p. 183
Table of Contents provided by Ingram. All Rights Reserved.

Amazon no longer offers textbook rentals. We do!

Multiple Comparisons Using R

Multiple Comparisons Using R

9781584885740

1584885742

Summary

Table of Contents

Supplemental Materials

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