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Statistical considerations when using a composite endpoint for comparing treatment groups.
MedLine Citation:
PMID:  22855368     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
When comparing two treatment groups in a time-to-event analysis, it is common to use a composite event consisting of two or more distinct outcomes. The goal of this paper is to develop a statistical methodology to derive efficiency guidelines for deciding whether to expand a study primary endpoint from E1 (for example, non-fatal myocardial infarction and cardiovascular death) to the composite of E1 and E2 (for example, non-fatal myocardial infarction, cardiovascular death or revascularisation). We investigate this problem by considering the asymptotic relative efficiency of a log-rank test for comparing treatment groups with respect to a primary relevant endpoint E1 versus the composite primary endpoint, say E, of E1 and E2, where E2 is some additional endpoint. Copyright © 2012 John Wiley & Sons, Ltd.
Authors:
Guadalupe Gómez; Stephen W Lagakos
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-8-1
Journal Detail:
Title:  Statistics in medicine     Volume:  -     ISSN:  1097-0258     ISO Abbreviation:  Stat Med     Publication Date:  2012 Aug 
Date Detail:
Created Date:  2012-8-2     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012 John Wiley & Sons, Ltd.
Affiliation:
Universitat Politècnica de Catalunya, Barcelona, Spain. lupe.gomez@upc.edu.
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