Multiple Comparisons Using R

Multiple Comparisons Using R

2011 | Frank Bretz, Torsten Hothorn, Peter Westfall
The book "Multiple Comparisons Using R" by Frank Bretz, Torsten Hothorn, and Peter Westfall provides a comprehensive guide to multiple comparison procedures in statistical analysis. The authors emphasize the importance of adjusting for multiplicity to avoid misleading conclusions, such as incorrectly declaring non-existent effects as significant. The book covers various methods for controlling error rates, including Bonferroni's inequality, Simes' inequality, and resampling-based approaches. It also discusses the application of these procedures in parametric models, such as linear regression, and introduces the multcomp package in R for practical implementation. The book includes numerous examples and case studies to illustrate the concepts and methods, making it a valuable resource for both students and practitioners in statistics and related fields.The book "Multiple Comparisons Using R" by Frank Bretz, Torsten Hothorn, and Peter Westfall provides a comprehensive guide to multiple comparison procedures in statistical analysis. The authors emphasize the importance of adjusting for multiplicity to avoid misleading conclusions, such as incorrectly declaring non-existent effects as significant. The book covers various methods for controlling error rates, including Bonferroni's inequality, Simes' inequality, and resampling-based approaches. It also discusses the application of these procedures in parametric models, such as linear regression, and introduces the multcomp package in R for practical implementation. The book includes numerous examples and case studies to illustrate the concepts and methods, making it a valuable resource for both students and practitioners in statistics and related fields.
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