Document Detail


Analysis strategies for adaptive designs with multiple endpoints.
MedLine Citation:
PMID:  18027225     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Mark Chang; Shein-Chung Chow
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of biopharmaceutical statistics     Volume:  17     ISSN:  1054-3406     ISO Abbreviation:  J Biopharm Stat     Publication Date:  2007  
Date Detail:
Created Date:  2007-11-20     Completed Date:  2008-01-17     Revised Date:  2008-03-31    
Medline Journal Info:
Nlm Unique ID:  9200436     Medline TA:  J Biopharm Stat     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1189-200     Citation Subset:  IM    
Affiliation:
Millennium Pharmaceuticals, Inc., Cambridge, Massachusetts 02139, USA. mark.chang@statisticians.org
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MeSH Terms
Descriptor/Qualifier:
Clinical Trials as Topic / methods,  statistics & numerical data*
Endpoint Determination / statistics & numerical data*
Humans
Research Design / statistics & numerical data*
Comments/Corrections
Erratum In:
J Biopharm Stat. 2008;18(2):402

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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