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Cited by 287

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Global Cross-Ratio Models for Bivariate, Discrete, Ordered Responses

Dale, Jocelyn R.·1986·Biometrics

Abstract

A family of statistical models is presented for bivariate, discrete response to a regressor when both components of the response have ordered categories. Association between components is expressed in terms of global cross-ratios, cross-product ratios of quadrant probabilities, for each double dichotomy of the response table of probabilities into quadrants (Pearson and Heron, 1913, Biometrika 9, 159-315). These models are extensions to the work of Plackett (1965, Journal of the American Statistical Association 60, 516-522) and Mantel and Brown (1973, Biometrics 29, 649-665). The marginal cumulative probabilities may satisfy linear logistic or other generalized linear models (McCullagh, 1980, Journal of the Royal Statistical Society, Series B 42, 109-142). An analysis of patients' postoperative pain level and medication frequency illustrates these methods.

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Metadata

Authors
Dale, J. R.
Venue
Biometrics
Publisher
JSTOR
Published
1986-12
Volume
42
Issue
4
Pages
909
ISSN
0006-341X (ISSN-L)
OpenAlex
W2064644892
Cited by
287
References
12
FWCI
0.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Global Cross-Ratio Models for Bivariate, Discrete, Ordered Responses. https://app.cochat.ai/papers/10.2307/2530704
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Dale, J. R. (1986). Global Cross-Ratio Models for Bivariate, Discrete, Ordered Responses. Biometrics. https://doi.org/10.2307/2530704

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