Abstract:
:In this paper I consider a problem of identifying all effective and superior drug combinations. I formulate this problem in terms of a family of hypotheses and propose a two-stage method to solve it. The first stage uses individual p-values obtained via the Min tests, whereas Holm's approach is employed in the second stage to draw simultaneous inferences. This procedure is shown to control the family-wise error rate in a strong sense. The performance of the procedure is studied by simulation for different parameter settings. The conclusions of the simulation study are stated in terms of the power, family-wise error rate and lack of power.
journal_name
J Biopharm Statjournal_title
Journal of biopharmaceutical statisticsauthors
Soulakova JNdoi
10.1080/10543400802622469subject
Has Abstractpub_date
2009-01-01 00:00:00pages
280-91issue
2eissn
1054-3406issn
1520-5711pii
908654544journal_volume
19pub_type
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journal_title:Journal of biopharmaceutical statistics
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journal_title:Journal of biopharmaceutical statistics
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journal_title:Journal of biopharmaceutical statistics
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journal_title:Journal of biopharmaceutical statistics
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journal_title:Journal of biopharmaceutical statistics
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journal_title:Journal of biopharmaceutical statistics
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