We consider bivariate survival problems in which interest is in the conditional distribution of one survival variable given an uncensored observation of the other. The work is motivated by an analysis of time to cancer diagnosis then subsequent survival amongst a group of organ transplant recipients
Modelling conditional distributions in bivariate survival
โ Scribed by Robin Henderson
- Publisher
- Springer
- Year
- 1996
- Tongue
- English
- Weight
- 757 KB
- Volume
- 2
- Category
- Article
- ISSN
- 1380-7870
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โฆ Synopsis
Conditionai distributions for bivariate survival can be obtained via a modelfor the joint distribution, or, as has sometimes been suggested, by modelling the conditioned variable directly, with the conditioning variable included as a covariate. A quantitative comparison of estimated covariate effects and predictive distributions under the two approaches is given. The results are illustrated in a novel frailty application.
๐ SIMILAR VOLUMES
In this paper we study Arnold's (1987, Statist. Probab. Lett. 5, 263 266) class of bivariate distributions with Pareto conditionals from a reliability point of view. Failure rates and mean residual life function of the marginal distributions and their monotonic properties are studied. The hazard com