Title | Bayesian Transformation Models for Multivariate Survival Data. |
Publication Type | Journal Article |
Year of Publication | 2014 |
Authors | DE Castro, Mário, Ming-Hui Chen, Joseph G. Ibrahim, and John P. Klein |
Journal | Scand Stat Theory Appl |
Volume | 41 |
Issue | 1 |
Pagination | 187-199 |
Date Published | 2014 Mar |
ISSN | 0303-6898 |
Abstract | In this paper we propose a general class of gamma frailty transformation models for multivariate survival data. The transformation class includes the commonly used proportional hazards and proportional odds models. The proposed class also includes a family of cure rate models. Under an improper prior for the parameters, we establish propriety of the posterior distribution. A novel Gibbs sampling algorithm is developed for sampling from the observed data posterior distribution. A simulation study is conducted to examine the properties of the proposed methodology. An application to a data set from a cord blood transplantation study is also reported. |
DOI | 10.1111/sjos.12010 |
Alternate Journal | Scand Stat Theory Appl |
Original Publication | Bayesian transformation models for multivariate survival data. |
PubMed ID | 24904194 |
PubMed Central ID | PMC4040529 |
Grant List | P01 CA142538 / CA / NCI NIH HHS / United States R01 GM070335 / GM / NIGMS NIH HHS / United States |
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