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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Statistics in Medici...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Statistics in Medicine
Article . 2007 . Peer-reviewed
License: Wiley Online Library User Agreement
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Assessing non‐inferiority: A combination approach

Authors: Ping, Gao; James H, Ware;

Assessing non‐inferiority: A combination approach

Abstract

AbstractNon‐inferiority designs are growing in importance as a strategy for comparing new drugs with established therapies. Because it is not possible to show that a new drug and the established therapy have identical efficacy profiles, non‐inferiority trials are designed to demonstrate that the new drug is not inferior to an established drug (the ‘control’) relative to a prespecified ‘non‐inferiority margin’. No objective principle guides the choice of the non‐inferiority margin, and controversies about the margin have, in some cases, had important consequences for drug development.We argue that some of these controversies have arisen because non‐inferiority trials must achieve two objectives. They must demonstrate not only that the new drug is not inferior to the control drug by the non‐inferiority margin, but also that the new drug is superior to placebo. When the second objective is not considered explicitly, it can distort the choice of the non‐inferiority margin. Some methods designed to address both objectives through the choice of the non‐inferiority margin lead to overly stringent non‐inferiority criteria.We describe an approach to non‐inferiority analysis that combines two tests, a traditional test for non‐inferiority and a test for superiority based on a synthetic estimate of the effect of the new treatment relative to placebo. The synthetic estimate may be ‘discounted’ to address concerns about assay inconstancy. We discuss power and sample size considerations for the proposed procedure. Copyright © 2007 John Wiley & Sons, Ltd.

Related Organizations
Keywords

Clinical Trials as Topic, Drugs, Investigational, United States, Placebos, Treatment Outcome, Evaluation Studies as Topic, Research Design, Sample Size, Humans

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Average
Top 10%
Top 10%
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