MARC details
000 -LEADER |
fixed length control field |
02368cam a2200217 a 4500 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781584885740 (hardcover : alk. paper) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
1584885742 (hardcover : alk. paper) |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
519.5 |
Item number |
BRE |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Bretz, Frank |
245 10 - TITLE STATEMENT |
Title |
Multiple comparisons using R / |
Statement of responsibility, etc. |
by Frank Bretz, Torsten Hothorn and Peter Westfall |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
Boca Raton, FL : |
Name of publisher, distributor, etc. |
CRC Press, |
Date of publication, distribution, etc. |
c2011. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xvii, 187 p. : |
Other physical details |
ill. ; |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc. note |
Includes bibliographical references and index. |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Introduction -- General concepts -- Multiple comparisons in parametric models -- Applications -- Further topics. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
"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 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Multiple comparisons (Statistics) |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
R (Computer program language) |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Hothorn, Torsten. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Westfall, Peter H., |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Book |