| Analysis strategies for adaptive designs with multiple endpoints. | |
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MedLine Citation:
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PMID: 18027225 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The problem of analysis strategies for adaptive designs with multiple endpoints is considered. We first provide a review of the commonly used methods for addressing the issue of multiplicity in classical designs, followed by the gatekeeper procedure and the fractal gatekeeper procedure. The latter will be applied to address the issue of multiplicity in adaptive trials with multiple endpoints based on the invariance property of the test statistic employed. Practical examples are presented to illustrate the proposed fractal gatekeeper method when analyzing data obtained from an adaptive trial with multiple endpoints. |
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Authors:
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Mark Chang; Shein-Chung Chow |
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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: 17 ISSN: 1054-3406 ISO Abbreviation: J Biopharm Stat Publication Date: 2007 |
Date Detail:
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Created Date: 2007-11-20 Completed Date: 2008-01-17 Revised Date: 2008-03-31 |
Medline Journal Info:
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Nlm Unique ID: 9200436 Medline TA: J Biopharm Stat Country: United States |
Other Details:
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Languages: eng Pagination: 1189-200 Citation Subset: IM |
Affiliation:
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Millennium Pharmaceuticals, Inc., Cambridge, Massachusetts 02139, USA. mark.chang@statisticians.org |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Clinical Trials as Topic
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methods,
statistics & numerical data* Endpoint Determination / statistics & numerical data* Humans Research Design / statistics & numerical data* |
| Comments/Corrections | |
Erratum In:
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J Biopharm Stat. 2008;18(2):402 |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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