Multiple Comparison Procedures
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Multiple Comparison Procedures
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Author : Larry E. Toothaker
language : en
Publisher: SAGE
Release Date : 1993
Multiple Comparison Procedures written by Larry E. Toothaker and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Mathematics categories.
If you conduct research with more than two groups and want to find out if they are significantly different when compared two at a time, then you need Multiple Comparison Procedures. Using examples to illustrate major concepts, this concise volume is your guide to multiple comparisons. Toothaker thoroughly explains such essential issues as planned vs. post-hoc comparisons, stepwise vs. simultaneous test procedures, types of error rate, unequal sample sizes and variances, and interaction tests vs. cell mean tests.
Multiple Comparisons Using R
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Author : Frank Bretz
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Multiple Comparisons Using R written by Frank Bretz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Mathematics categories.
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 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. See Dr. Bretz discuss the book.
Multiple Comparisons For Researchers
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Author : Larry E. Toothaker
language : en
Publisher: SAGE Publications, Incorporated
Release Date : 1991-08-27
Multiple Comparisons For Researchers written by Larry E. Toothaker and has been published by SAGE Publications, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-08-27 with Reference categories.
Through clear exposition and step-by-step procedures, Toothaker describes all the most important multiple comparison procedures along with relevant concepts, such as error rate, power, robustness and coverage of two-way ANOVA including the controversy on cell mean versus tests on interaction effects. The book also includes samples of multiple comparison programs in SAS and SPSS.
Multiple Comparison Procedures
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Author : Yosef Hochberg
language : en
Publisher:
Release Date : 1987-10-05
Multiple Comparison Procedures written by Yosef Hochberg and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987-10-05 with Mathematics categories.
Offering a balanced, up-to-date view of multiple comparison procedures, this book refutes the belief held by some statisticians that such procedures have no place in data analysis. With equal emphasis on theory and applications, it establishes the advantages of multiple comparison techniques in reducing error rates and in ensuring the validity of statistical inferences. Provides detailed descriptions of the derivation and implementation of a variety of procedures, paying particular attention to classical approaches and confidence estimation procedures. Also discusses the benefits and drawbacks of other methods. Numerous examples and tables for implementing procedures are included, making this work both practical and informative.
Recent Developments In Multiple Comparison Procedures
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Author : Yoav Benjamini
language : en
Publisher: IMS
Release Date : 2004
Recent Developments In Multiple Comparison Procedures written by Yoav Benjamini and has been published by IMS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Mathematics categories.
Multiple Comparison Procedures
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Author : Martin A. Hamilton
language : en
Publisher:
Release Date : 1965
Multiple Comparison Procedures written by Martin A. Hamilton and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1965 with Forests and forestry categories.
Multiple Comparison Procedures
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Author :
language : en
Publisher:
Release Date : 2007
Multiple Comparison Procedures written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Pairwise Multiple Comparisons
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Author : Taka-aki Shiraishi
language : en
Publisher: Springer Nature
Release Date : 2019-09-30
Pairwise Multiple Comparisons written by Taka-aki Shiraishi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-30 with Mathematics categories.
This book focuses on all-pairwise multiple comparisons of means in multi-sample models, introducing closed testing procedures based on maximum absolute values of some two-sample t-test statistics and on F-test statistics in homoscedastic multi-sample models. It shows that (1) the multi-step procedures are more powerful than single-step procedures and the Ryan/Einot–Gabriel/Welsh tests, and (2) the confidence regions induced by the multi-step procedures are equivalent to simultaneous confidence intervals. Next, it describes the multi-step test procedure in heteroscedastic multi-sample models, which is superior to the single-step Games–Howell procedure. In the context of simple ordered restrictions of means, the authors also discuss closed testing procedures based on maximum values of two-sample one-sided t-test statistics and based on Bartholomew's statistics. Furthermore, the book presents distribution-free procedures and describes simulation studies performed under the null hypothesis and some alternative hypotheses. Although single-step multiple comparison procedures are generally used, the closed testing procedures described are more powerful than the single-step procedures. In order to execute the multiple comparison procedures, the upper 100α percentiles of the complicated distributions are required. Classical integral formulas such as Simpson's rule and the Gaussian rule have been used for the calculation of the integral transform that appears in statistical calculations. However, these formulas are not effective for the complicated distribution. As such, the authors introduce the sinc method, which is optimal in terms of accuracy and computational cost.
Multiple Comparisons
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Author : Jason Hsu
language : en
Publisher: CRC Press
Release Date : 1996-02-01
Multiple Comparisons written by Jason Hsu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-02-01 with Mathematics categories.
Multiple Comparisons introduces simultaneous statistical inference and covers the theory and techniques for all-pairwise comparisons, multiple comparisons with the best, and multiple comparisons with a control. The author describes confidence intervals methods and stepwise exposes abuses and misconceptions, and guides readers to the correct method for each problem. Discussions also include the connections with bioequivalence, drug stability, and toxicity studies Real data sets analyzed by computer software packages illustrate the applications presented.
Multiple Comparisons For Researchers
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Author : Larry E. Toothaker
language : en
Publisher:
Release Date :
Multiple Comparisons For Researchers written by Larry E. Toothaker and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Through clear exposition and step-by-step procedures, Toothaker describes all the most important multiple comparison procedures along with relevant concepts, such as error rate, power, robustness and coverage of two-way ANOVA including the controversy on cell mean versus tests on interaction effects. The book also includes samples of multiple comparison programs in SAS and SPSS.