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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 . 2012 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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
zbMATH Open
Article . 2013
Data sources: zbMATH Open
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Simultaneous confidence intervals on multivariate non‐inferiority

Simultaneous confidence intervals on multivariate non-inferiority
Authors: Hasler, M.; Hothorn, L. A.;

Simultaneous confidence intervals on multivariate non‐inferiority

Abstract

We discuss the analysis of non‐inferiority trials based on a multi‐armed design with multiple correlated endpoints. We consider five different scenarios: (1) global non‐inferiority; (2) non‐inferiority for subsets of comparisons; (3) global non‐inferiority for a treatment group; (4) global non‐inferiority for an endpoint; and (5) local non‐inferiority. We describe and compare related approaches, which are based on the union‐intersection and intersection‐union test principles – alone and in combination. Because non‐inferiority thresholds for many differently scaled endpoints are rarely available in practice, the approaches described focus on the estimation of simultaneous confidence limits and their post hoc interpretation on non‐inferiority. We discuss and demonstrate pros and cons by means of a real data example. Copyright © 2012 John Wiley & Sons, Ltd.

Related Organizations
Keywords

Models, Statistical, multiple endpoints, Biostatistics, Applications of statistics to biology and medical sciences; meta analysis, simultaneous confidence intervals, union-intersection test, Multivariate Analysis, Confidence Intervals, Humans, many-to-one comparison, intersection-union test, Randomized Controlled Trials as Topic

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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!
8
Average
Average
Average
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