| On using the bootstrap for multiple comparisons. | |
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MedLine Citation:
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PMID: 22023686 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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There are many ways to bootstrap data for multiple comparisons procedures. Methods described here include (i) bootstrap (parametric and nonparametric) as a generalization of classical normal-based MaxT methods, (ii) bootstrap as an approximation to exact permutation methods, (iii) bootstrap as a generator of realistic null data sets, and (iv) bootstrap as a generator of realistic non-null data sets. Resampling of MinP versus MaxT is discussed, and the use of the bootstrap for closed testing is also presented. Applications to biopharmaceutical statistics are given. |
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Authors:
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Peter H Westfall |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Journal of biopharmaceutical statistics Volume: 21 ISSN: 1520-5711 ISO Abbreviation: J Biopharm Stat Publication Date: 2011 Nov |
Date Detail:
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Created Date: 2011-10-25 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9200436 Medline TA: J Biopharm Stat Country: England |
Other Details:
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Languages: eng Pagination: 1187-205 Citation Subset: IM |
Affiliation:
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a Texas Tech University , Lubbock , Texas , USA. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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