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Multiple Comparisons Using R

Multiple Comparisons Using R by Frank Bretz
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Introduction

General Concepts
Error rates and general concepts
Construction methods
Methods based on Bonferroni’s inequality
Methods based on Simes’ inequality

Multiple Comparisons in Parametric Models
General linear models
Extensions to general parametric models
The multcomp package

Applications
Multiple comparisons with a control
All pairwise comparisons
Dose response analyses
Variable selection in regression models
Simultaneous confidence bands
Multiple comparisons under heteroscedasticity
Multiple comparisons in logistic regression models
Multiple comparisons in survival models
Multiple comparisons in mixed-effects models

Further Topics
Resampling-based multiple comparison procedures
Group sequential and adaptive designs
Combining multiple comparisons with modeling

Bibliography

Index

CRC Press; July 2010
202 pages; ISBN 9781420010909
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Title: Multiple Comparisons Using R
Author: Frank Bretz; Torsten Hothorn; Peter Westfall
 
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