A Bayesian Approach to Competing Risks Model with Masked Causes of Failure and Incomplete Failure Times
Joint Authors
Adegboye, Oyelola A.
Yousif, Yosra
Elfaki, Faiz A. M.
Hrairi, Meftah
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-24
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Yousif, Yosra& Elfaki, Faiz A. M.& Hrairi, Meftah& Adegboye, Oyelola A.. 2020. A Bayesian Approach to Competing Risks Model with Masked Causes of Failure and Incomplete Failure Times. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1200968
Modern Language Association (MLA)
Yousif, Yosra…[et al.]. A Bayesian Approach to Competing Risks Model with Masked Causes of Failure and Incomplete Failure Times. Mathematical Problems in Engineering No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1200968
American Medical Association (AMA)
Yousif, Yosra& Elfaki, Faiz A. M.& Hrairi, Meftah& Adegboye, Oyelola A.. A Bayesian Approach to Competing Risks Model with Masked Causes of Failure and Incomplete Failure Times. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1200968
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1200968