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Multivariate Survival Data with Censoring

Abstract : We define a new class of models for multivariate survival data, in continuous time, based on a number of cumulative hazard functions, along the lines of our family of models for correlated survival data in discrete time [Gross and Huber-Carol (2000, 2002)]. This family is an alternative to frailty and copula models. We establish some properties of our family and compare it to Clayton's and Marshall-Olkin's and derive nonparametric partial likelihood estimates of the hazards involved in its definition.
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Contributor : Christine Graffigne Connect in order to contact the contributor
Submitted on : Wednesday, March 12, 2008 - 10:55:19 AM
Last modification on : Friday, April 10, 2020 - 5:20:47 PM


  • HAL Id : hal-00263462, version 1


Catherine Huber, Shulamith Gross. Multivariate Survival Data with Censoring. Statistical Models and Methods for Biomedical and Technical Systems, 2008, pp.55-65. ⟨hal-00263462⟩



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