Document Detail


Controlling the type 1 error rate in non-inferiority trials.
MedLine Citation:
PMID:  17914715     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Two different approaches have been proposed for establishing the efficacy of an experimental therapy through a non-inferiority trial: The fixed-margin approach involves first defining a non-inferiority margin and then demonstrating that the experimental therapy is not worse than the control by more than this amount, and the synthesis approach involves combining the data from the non-inferiority trial with the data from historical trials evaluating the effect of the control. In this paper, we introduce a unified approach that has both these approaches as special cases and show how the parameters of this approach can be selected to control the unconditional type 1 error rate in the presence of departures from the assumptions of assay sensitivity and constancy. It is shown that the fixed-margin approach can be extremely inefficient and that it is always possible to achieve equivalent control of the unconditional type 1 error rate, with higher power, by using an appropriately chosen synthesis method.
Authors:
Steven Snapinn; Qi Jiang
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Statistics in medicine     Volume:  27     ISSN:  0277-6715     ISO Abbreviation:  Stat Med     Publication Date:  2008 Feb 
Date Detail:
Created Date:  2008-01-14     Completed Date:  2008-04-24     Revised Date:  2008-10-06    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  England    
Other Details:
Languages:  eng     Pagination:  371-81     Citation Subset:  IM    
Affiliation:
Amgen Inc., One Amgen Center Drive, 24-2-C, Thousand Oaks, CA 91320, USA. ssnapinn@amgen.com
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MeSH Terms
Descriptor/Qualifier:
Bias (Epidemiology)*
Clinical Trials as Topic / ethics,  methods,  statistics & numerical data*
Humans
Models, Statistical*
United States
Comments/Corrections
Erratum In:
Stat Med. 2008 Oct 15;27(23):4855-6

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


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