Ebook Download Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment, by Peter H. Westfall, S. Stanley Young
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Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment, by Peter H. Westfall, S. Stanley Young
Ebook Download Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment, by Peter H. Westfall, S. Stanley Young
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Combines recent developments in resampling technology (including the bootstrap) with new methods for multiple testing that are easy to use, convenient to report and widely applicable. Software from SAS Institute is available to execute many of the methods and programming is straightforward for other applications. Explains how to summarize results using adjusted p-values which do not necessitate cumbersome table look-ups. Demonstrates how to incorporate logical constraints among hypotheses, further improving power.
- Sales Rank: #2479852 in Books
- Published on: 1993-01-05
- Original language: English
- Number of items: 1
- Dimensions: 9.53" h x .96" w x 6.36" l, 1.49 pounds
- Binding: Hardcover
- 360 pages
From the Publisher
Combines recent developments in resampling technology (including the bootstrap) with new methods for multiple testing that are easy to use, convenient to report and widely applicable. Software from SAS Institute is available to execute many of the methods and programming is straightforward for other applications. Explains how to summarize results using adjusted p-values which do not necessitate cumbersome table look-ups. Demonstrates how to incorporate logical constraints among hypotheses, further improving power.
Most helpful customer reviews
31 of 31 people found the following review helpful.
p-value adjustment by resampling
By Michael R. Chernick
Bootstrap methods have provided new theoretical and practical advances over the past 20 years. These authors convincingly argue the need to make p-value adjustments in multiple testing situations. They have written their own SAS program that allows the option of using bootstrap and permutation methods to compare with the more classical Bonferroni and Sidak bounds. Their program has been incorporated into a SAS/STAT procedure called PROC MULTTEST. I have found the program to be very useful in my medical device problems, particularly in the analysis of clinical studies. One such application is include in my book "Bootstrap Methods: A Practitioner's Guide." Westfall and Young have written an excellent book which serves as a very worthwhile reference book.
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