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Contribution Details
| Type | Journal Article |
| Scope | Discipline-based scholarship |
| Title | Optimal testing of multiple hypotheses with common effect direction |
| Organization Unit | |
| Authors |
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| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Journal Title | Biometrika |
| Publisher | Oxford University Press |
| Geographical Reach | international |
| ISSN | 0006-3444 |
| Volume | 96 |
| Number | 2 |
| Page Range | 399 - 410 |
| Date | 2009 |
| Abstract Text | We present a theoretical basis for testing related endpoints. Typically, it is known how to construct tests of the individual hypotheses, and the problem is how to combine them into a multiple test procedure that controls the familywise error rate. Using the closure method, we emphasize the role of consonant procedures, from an interpretive as well as a theoretical viewpoint, and introduce a new procedure, which is consonant and has a maximin property under the normal model. The results are then applied to PROactive, a clinical trial designed to investigate the effectiveness of a glucose-lowering drug on macrovascular outcomes among patients with type 2 diabetes. |
| Digital Object Identifier | 10.1093/biomet/asp006 |
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| Additional Information | This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Biometrika following peer review. The definitive publisher-authenticated version Biometrika 2009 96(2):399-410; doi:10.1093/biomet/asp006 is available online at: http://biomet.oxfordjournals.org/cgi/content/abstract/96/2/399 |