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...

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Main Authors: Yousif, Yosra, Elfaki, Faiz Ahmed Mohamed, Hrairi, Meftah, Adegboye, Oyelola
Format: Article
Language:English
English
English
Published: Hindawi Limited 2020
Subjects:
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
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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.
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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
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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