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Multivariate Generalizations of the Proportional Hazards Model

Clayton, David, Cuzick, Jack·1985·Journal of the Royal Statistical Society. Series A (General)

Abstract

A new approach to analysis of bivariate survival data is presented. It involves development of model for bivariate life-tables...with a single association parameter which is unaffected by monotone transformation of marginal distributions. Methods for testing and estimating this parameter from right-censored sample pairs using only rank-order information are presented. The model is a generalization of proportional hazards model and includes a random effect representing heterogeneity of frailty or proneness to failure. A discussion on the analysis of litter-matched and matched-pair failure-time data is [included]. Some uses of methods in rank regression problems involving only one right-censored dependent variable are described and a test is proposed for proportional hazards against alternative error structures leading to converging hazards. Finally methods are compared and validated by Monte-Carlo simulations. Comments by several people and a discussion concerning paper are included (pp. 108-17). (EXCERPT)

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Metadata

Authors
Clayton, D., & Cuzick, J.
Venue
Journal of the Royal Statistical Society. Series A (General)
Publisher
JSTOR
Published
1985
Volume
148
Issue
2
Pages
82
ISSN
0035-9238 (ISSN-L)
OpenAlex
W1545685020
Cited by
625
References
0
FWCI
8.48
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Multivariate Generalizations of the Proportional Hazards Model. https://app.cochat.ai/papers/10.2307/2981943
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Clayton, D., & Cuzick, J. (1985). Multivariate Generalizations of the Proportional Hazards Model. Journal of the Royal Statistical Society. Series A (General). https://doi.org/10.2307/2981943

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