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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Article dans une revue
Statistical Models and Methods for Biomedical and Technical Systems, 2008, pp.55-65
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https://hal.archives-ouvertes.fr/hal-00263462
Contributeur : Christine Graffigne <>
Soumis le : mercredi 12 mars 2008 - 10:55:19
Dernière modification le : mardi 10 octobre 2017 - 11:22:03

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  • HAL Id : hal-00263462, version 1

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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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