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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 zbMATH Openarrow_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
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Article
Data sources: zbMATH Open
Biometrika
Article . 1971 . Peer-reviewed
Data sources: Crossref
Biometrika
Article . 1971 . Peer-reviewed
Data sources: Crossref
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The Analysis of Matched Proportions

The analysis of matched proportions
Authors: Altham, Patricia M. E.;

The Analysis of Matched Proportions

Abstract

SUMMARY The analysis of the difference between two treatments is discussed, the available data being the dichotomous responses to each of the two treatments by individuals matched in pairs. The model used in a Bayesian analysis is compared with the logistic model suggested by Cox (1958), and with a random effects model. A model which assumes the positive association of responses of matched individuals is considered. Finally, some of these methods are extended to the case when the order of application of the two treatments may matter.

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Keywords

Bayesian inference, Paired and multiple comparisons; multiple testing

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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!
32
Top 10%
Top 10%
Average
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