A Bayesian Approach to Competing Risks Model with Masked Causes of Failure and Incomplete Failure Times

Yousif, Yosra, Elfaki, Faiz A.M., Hrairi, Meftah, and Adegboye, Oyelola A. (2020) A Bayesian Approach to Competing Risks Model with Masked Causes of Failure and Incomplete Failure Times. Mathematical Problems in Engineering, 2020. 8248640.

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We present a Bayesian approach for analysis of competing risks survival data with masked causes of failure. This approach is often used to assess the impact of covariates on the hazard functions when the failure time is exactly observed for some subjects but only known to lie in an interval of time for the remaining subjects. Such data, known as partly interval-censored data, usually result from periodic inspection in production engineering. In this study, Dirichlet and Gamma processes are assumed as priors for masking probabilities and baseline hazards. Markov chain Monte Carlo (MCMC) technique is employed for the implementation of the Bayesian approach. The effectiveness of the proposed approach is illustrated with simulated and production engineering applications.

Item ID: 75318
Item Type: Article (Research - C1)
ISSN: 1563-5147
Copyright Information: © 2020 Yosra Yousif et al. -is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
Date Deposited: 11 Jul 2022 23:59
FoR Codes: 49 MATHEMATICAL SCIENCES > 4905 Statistics > 490501 Applied statistics @ 100%
SEO Codes: 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280118 Expanding knowledge in the mathematical sciences @ 100%
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