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Biometrics
Article . 1980 . Peer-reviewed
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Generalized Odds Ratios for Ordinal Data

Generalized odds ratios for ordinal data
Authors: Agresti, Alan;

Generalized Odds Ratios for Ordinal Data

Abstract

We consider properties of the ordinal measure of association defined by the ratio of the proportions of concordant and discordant pairs. For 2 x 2 cross-classification tables, the measure simplifies to the odds ratio. The generalized measure can be used to summarize the difference between two stochastically ordered distributions of an ordinal categorical variable. The ratio of its values for two groups constitutes an odds ratio defined in terms of pairs of observations. Unlike the odds ratio measures proposed by Clayton (1974, Bionxetrika 61, 525-531) for similar purposes, this measure is not linked to specific model assumptions and hence it is more widely applicable as a descriptive measure.

Keywords

concordance, Measures of association (correlation, canonical correlation, etc.), Kendall tau, gamma, cross-classification tables, Applications of statistics to biology and medical sciences; meta analysis, generalized odds ratio, ordinal data

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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!
83
Top 10%
Top 1%
Average
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