Conditional Proportional Hazards Models

Barry C. Arnold and Yong Hee Kim
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Barry C. Arnold: University of California, Riverside, Department of Statistics
Yong Hee Kim: University of California, Riverside, Department of Statistics

A chapter in Lifetime Data: Models in Reliability and Survival Analysis, 1996, pp 21-28 from Springer

Abstract: Abstract Bivariate survival models can sometimes be characterized in terms of conditional survival functions of the form P(X > x|Y > y) and P(Y > y|X > x). Attention is focussed on models in which these conditional survival functions are of the proportional hazards form. A characterization of such distributions is provided and related estimation problems are discussed.

Keywords: Survival Function; Conditional Density; Conditional Survival; Generalize Likelihood Ratio Test; Bivariate Survival (search for similar items in EconPapers)
Date: 1996
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4757-5654-8_4

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DOI: 10.1007/978-1-4757-5654-8_4

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