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 effect
Choice of conditional models in bivariate survival
β Scribed by Robin Henderson; Helen Prince
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 141 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0277-6715
No coin nor oath required. For personal study only.
β¦ Synopsis
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. The e ect of conditioning is illustrated for ΓΏve standard bivariate models. The consequences of adopting a misspeciΓΏed marginal approach in which the conditioning variable is considered to be a ΓΏxed covariate are investigated.
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