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Nonparametric Bayesian estimation based on beta prior in cure model

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/118270

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Title: Nonparametric Bayesian estimation based on beta prior in cure model
Related: International Conference on Bioinformatics and Biomedical Engineering (3rd : 2009) (11 - 12 June 2009 : Beijing)
Related: Proceedings, the 3rd International Conference on Bioinformatics and Biomedical Engineering : iCBBE 2009 : June 11-16, 2009 Beijing, China, p.1-6
DOI: 10.1109/ICBBE.2009.5162437
Publisher: Piscataway, N.J : IEEE
Date: 2009
FoR/RFCD Code(s): 010200 Applied Mathematics 010300 Numerical and Computational Mathematics
Author/Creator: Zhao, Xiaobing
Author/Creator: Xiao, Ciului
Author/Creator: Zhou, Xian
Description: This paper is to study nonparametric Bayesian estimation for a proportional hazards model with "long-term survivors". The cumulative hazards function is modeled by a beta process, and the priors of the cure rate and coefficient of covariates can be improper distributions under the proposed model. The posterior estimators of the cure rate, the coefficient for covariates and the survival function are estimated from the cases of discrete-time, continuous-time and grouped survival data. A set of leukemia data are re-analyzed to illustrate the proposed model and statistical inference via a Markov chain Monte Carlo (MCMC) algorithm with Gibbs sampling.
Description: 6 page(s)
Subject Keyword: 010200 Applied Mathematics
Subject Keyword: 010300 Numerical and Computational Mathematics
Resource Type: conference paper
Organisation: Macquarie University. Dept. of Actuarial Studies

Identifier: http://hdl.handle.net/1959.14/118270
Identifier: ISBN:9781424429028
Identifier: mq-rm-2009004992
Language: eng
Rights: Copyright 2009 IEEE. Reprinted from Proceedings, the 3rd International Conference on Bioinformatics and Biomedical Engineering : iCBBE 2009 : June 11-16, 2009 Beijing, China. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
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