Bayesian Transformation Models for Multivariate Survival Data.

TitleBayesian Transformation Models for Multivariate Survival Data.
Publication TypeJournal Article
Year of Publication2014
AuthorsDE Castro, Mário, Ming-Hui Chen, Joseph G. Ibrahim, and John P. Klein
JournalScand Stat Theory Appl
Volume41
Issue1
Pagination187-199
Date Published2014 Mar
ISSN0303-6898
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.

DOI10.1111/sjos.12010
Alternate JournalScand Stat Theory Appl
Original PublicationBayesian transformation models for multivariate survival data.
PubMed ID24904194
PubMed Central IDPMC4040529
Grant ListP01 CA142538 / CA / NCI NIH HHS / United States
R01 GM070335 / GM / NIGMS NIH HHS / United States
Project: