| Statistical considerations when using a composite endpoint for comparing treatment groups. | |
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MedLine Citation:
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PMID: 22855368 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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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. |
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Authors:
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Guadalupe Gómez; Stephen W Lagakos |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-8-1 |
Journal Detail:
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Title: Statistics in medicine Volume: - ISSN: 1097-0258 ISO Abbreviation: Stat Med Publication Date: 2012 Aug |
Date Detail:
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Created Date: 2012-8-2 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8215016 Medline TA: Stat Med Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2012 John Wiley & Sons, Ltd. |
Affiliation:
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Universitat Politècnica de Catalunya, Barcelona, Spain. lupe.gomez@upc.edu. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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