A Bayesian approach to competing risks model with masked causes of failure and incomplete failure times
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English English |
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Hindawi Limited
2020
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| Online Access: | http://irep.iium.edu.my/80574/ http://irep.iium.edu.my/80574/1/80574_A%20Bayesian%20Approach%20to%20Competing%20Risks%20Model.pdf http://irep.iium.edu.my/80574/2/80574_A%20Bayesian%20Approach%20to%20Competing%20Risks%20Model_SCOPUS.pdf http://irep.iium.edu.my/80574/3/80574_A%20Bayesian%20Approach%20to%20Competing%20Risks%20Model_WOS.pdf |
| _version_ | 1848788983613489152 |
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| author | Yousif, Yosra Elfaki, Faiz Ahmed Mohamed Hrairi, Meftah Adegboye, Oyelola |
| author_facet | Yousif, Yosra Elfaki, Faiz Ahmed Mohamed Hrairi, Meftah Adegboye, Oyelola |
| author_sort | Yousif, Yosra |
| building | IIUM Repository |
| collection | Online Access |
| description | 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. -e effectiveness of the proposed approach is illustrated with simulated and production engineering applications. |
| first_indexed | 2025-11-14T17:49:30Z |
| format | Article |
| id | iium-80574 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English English |
| last_indexed | 2025-11-14T17:49:30Z |
| publishDate | 2020 |
| publisher | Hindawi Limited |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-805742020-05-29T10:40:44Z http://irep.iium.edu.my/80574/ A Bayesian approach to competing risks model with masked causes of failure and incomplete failure times Yousif, Yosra Elfaki, Faiz Ahmed Mohamed Hrairi, Meftah Adegboye, Oyelola QA276 Mathematical Statistics 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. -e effectiveness of the proposed approach is illustrated with simulated and production engineering applications. Hindawi Limited 2020-04 Article PeerReviewed application/pdf en http://irep.iium.edu.my/80574/1/80574_A%20Bayesian%20Approach%20to%20Competing%20Risks%20Model.pdf application/pdf en http://irep.iium.edu.my/80574/2/80574_A%20Bayesian%20Approach%20to%20Competing%20Risks%20Model_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/80574/3/80574_A%20Bayesian%20Approach%20to%20Competing%20Risks%20Model_WOS.pdf Yousif, Yosra and Elfaki, Faiz Ahmed Mohamed and Hrairi, Meftah and Adegboye, Oyelola (2020) A Bayesian approach to competing risks model with masked causes of failure and incomplete failure times. Mathematical Problems in Engineering, 2020 (Article ID 8248640). pp. 1-7. ISSN 1024-123X E-ISSN 1563-5147 http://downloads.hindawi.com/journals/mpe/2020/8248640.pdf 10.1155/2020/8248640 |
| spellingShingle | QA276 Mathematical Statistics Yousif, Yosra Elfaki, Faiz Ahmed Mohamed Hrairi, Meftah Adegboye, Oyelola A Bayesian approach to competing risks model with masked causes of failure and incomplete failure times |
| title | A Bayesian approach to competing risks model with masked causes of failure and incomplete failure times |
| title_full | A Bayesian approach to competing risks model with masked causes of failure and incomplete failure times |
| title_fullStr | A Bayesian approach to competing risks model with masked causes of failure and incomplete failure times |
| title_full_unstemmed | A Bayesian approach to competing risks model with masked causes of failure and incomplete failure times |
| title_short | A Bayesian approach to competing risks model with masked causes of failure and incomplete failure times |
| title_sort | bayesian approach to competing risks model with masked causes of failure and incomplete failure times |
| topic | QA276 Mathematical Statistics |
| url | http://irep.iium.edu.my/80574/ http://irep.iium.edu.my/80574/ http://irep.iium.edu.my/80574/ http://irep.iium.edu.my/80574/1/80574_A%20Bayesian%20Approach%20to%20Competing%20Risks%20Model.pdf http://irep.iium.edu.my/80574/2/80574_A%20Bayesian%20Approach%20to%20Competing%20Risks%20Model_SCOPUS.pdf http://irep.iium.edu.my/80574/3/80574_A%20Bayesian%20Approach%20to%20Competing%20Risks%20Model_WOS.pdf |