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Multiple comparisons using R /

Bretz, Frank.

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Multiple comparisons using R /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Multiple comparisons using R // Frank Bretz, Torsten Hothorn, Peter Westfall.
Author:	Bretz, Frank.
other author:	Hothorn, Torsten.
Published:	Boca Raton, FL :CRC Press, : c2011.,
Description:	xvii, 187 p. :ill. ;25 cm.
Subject:	Multiple comparisons (Statistics) -
ISBN:	9781584885740 (hbk.) :

Multiple comparisons using R /
Bretz, Frank.

Multiple comparisons using R /Frank Bretz, Torsten Hothorn, Peter Westfall. - Boca Raton, FL :CRC Press,c2011. - xvii, 187 p. :ill. ;25 cm.

Includes bibliographical references and index.

Introduction --

"Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. After giving examples of multiplicity problems, the book covers general concepts and basic multiple comparisons procedures, including the Bonferroni method and Simes' test. It then shows how to perform parametric multiple comparisons in standard linear models and general parametric models. It also introduces the multcomp package in R, which offers a convenient interface to perform multiple comparisons in a general context. Following this theoretical framework, the book explores applications involving the Dunnett test, Tukey's all pairwise comparisons, and general multiple contrast tests for standard regression models, mixed-effects models, and parametric survival models. The last chapter reviews other multiple comparison procedures, such as resampling-based procedures, methods for group sequential or adaptive designs, and the combination of multiple comparison procedures with modeling techniques. Controlling multiplicity in experiments ensures better decision making and safeguards against false claims. A self-contained introduction to multiple comparison procedures, this book offers strategies for constructing the procedures and illustrates the framework for multiple hypotheses testing in general parametric models. It is suitable for readers with R experience but limited knowledge of multiple comparison procedures and vice versa."--Publisher's description.

ISBN: 9781584885740 (hbk.) :UK53.99Subjects--Topical Terms:

565899
Multiple comparisons (Statistics)

LC Class. No.: QA278.4 / .B74 2011

Dewey Class. No.: 519.5

Multiple comparisons using R /
LDR:02312cam a2200205 a 4500 001 1267291
003 OCoLC
005 20120831040316.0
008 120907s2011 flua b 001 0 eng d
020 $a 9781584885740 (hbk.) : $c UK53.99
020 $a 1584885742 (hbk.)
035 $a AS-BW-101-04
040 $a DLC $c DLC $d YDX $d YDXCP $d BWX $d CDX $d UBY
050 0 0 $a QA278.4 $b .B74 2011
082 0 0 $a 519.5 $2 22
100 1 $a Bretz, Frank. $3 1084703
245 1 0 $a Multiple comparisons using R / $c Frank Bretz, Torsten Hothorn, Peter Westfall.
260 # $a Boca Raton, FL : $b CRC Press, $c c2011.
300 $a xvii, 187 p. : $b ill. ; $c 25 cm.
504 $a Includes bibliographical references and index.
505 0 # $t Introduction -- $t General concepts -- $t Multiple comparisons in parametric models -- $t Applications -- $t Further topics.
520 # $a "Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. After giving examples of multiplicity problems, the book covers general concepts and basic multiple comparisons procedures, including the Bonferroni method and Simes' test. It then shows how to perform parametric multiple comparisons in standard linear models and general parametric models. It also introduces the multcomp package in R, which offers a convenient interface to perform multiple comparisons in a general context. Following this theoretical framework, the book explores applications involving the Dunnett test, Tukey's all pairwise comparisons, and general multiple contrast tests for standard regression models, mixed-effects models, and parametric survival models. The last chapter reviews other multiple comparison procedures, such as resampling-based procedures, methods for group sequential or adaptive designs, and the combination of multiple comparison procedures with modeling techniques. Controlling multiplicity in experiments ensures better decision making and safeguards against false claims. A self-contained introduction to multiple comparison procedures, this book offers strategies for constructing the procedures and illustrates the framework for multiple hypotheses testing in general parametric models. It is suitable for readers with R experience but limited knowledge of multiple comparison procedures and vice versa."--Publisher's description.
650 # 0 $a Multiple comparisons (Statistics) $3 565899
650 # 0 $a R (Computer program language) $3 784593
700 1 # $a Hothorn, Torsten. $3 1076908
700 1 # $a Westfall, Peter H., $d 1957- $3 647643