A Bayesian Approach to Competing Risks Model with Masked Causes of Failure and Incomplete Failure Times
<p>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...
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| مؤلفون آخرون: | , , |
| منشور في: |
2023
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| _version_ | 1864513563315404800 |
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| author | Yosra Yousif (14570989) |
| author2 | Faiz A. M. Elfaki (14570992) Meftah Hrairi (14570995) Oyelola A. Adegboye (4287826) |
| author2_role | author author author |
| author_facet | Yosra Yousif (14570989) Faiz A. M. Elfaki (14570992) Meftah Hrairi (14570995) Oyelola A. Adegboye (4287826) |
| author_role | author |
| dc.creator.none.fl_str_mv | Yosra Yousif (14570989) Faiz A. M. Elfaki (14570992) Meftah Hrairi (14570995) Oyelola A. Adegboye (4287826) |
| dc.date.none.fl_str_mv | 2023-03-15T11:50:47Z |
| dc.identifier.none.fl_str_mv | 10.1155/2020/8248640 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/A_Bayesian_Approach_to_Competing_Risks_Model_with_Masked_Causes_of_Failure_and_Incomplete_Failure_Times/22014902 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Mathematical sciences Statistics Bayesian approach Competing risks Survival data Masked causes of failure Partly interval-censored data Covariates |
| dc.title.none.fl_str_mv | A Bayesian Approach to Competing Risks Model with Masked Causes of Failure and Incomplete Failure Times |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p>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. </p> <h2>Other information </h2> <p>Published in: Mathematical Problems in Engineering<br> License: <a href="http://creativecommons.org/licenses/by/4.0" target="_blank">http://creativecommons.org/licenses/by/4.0</a><br> See article on publisher's website: <a href="http://dx.doi.org/10.1155/2020/8248640" target="_blank">http://dx.doi.org/10.1155/2020/8248640</a> </p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_681673dfdd07b20c7385df689ab7f065 |
| identifier_str_mv | 10.1155/2020/8248640 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/22014902 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | A Bayesian Approach to Competing Risks Model with Masked Causes of Failure and Incomplete Failure TimesYosra Yousif (14570989)Faiz A. M. Elfaki (14570992)Meftah Hrairi (14570995)Oyelola A. Adegboye (4287826)Mathematical sciencesStatisticsBayesian approachCompeting risksSurvival dataMasked causes of failurePartly interval-censored dataCovariates<p>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. </p> <h2>Other information </h2> <p>Published in: Mathematical Problems in Engineering<br> License: <a href="http://creativecommons.org/licenses/by/4.0" target="_blank">http://creativecommons.org/licenses/by/4.0</a><br> See article on publisher's website: <a href="http://dx.doi.org/10.1155/2020/8248640" target="_blank">http://dx.doi.org/10.1155/2020/8248640</a> </p>2023-03-15T11:50:47ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1155/2020/8248640https://figshare.com/articles/journal_contribution/A_Bayesian_Approach_to_Competing_Risks_Model_with_Masked_Causes_of_Failure_and_Incomplete_Failure_Times/22014902CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/220149022023-03-15T11:50:47Z |
| spellingShingle | A Bayesian Approach to Competing Risks Model with Masked Causes of Failure and Incomplete Failure Times Yosra Yousif (14570989) Mathematical sciences Statistics Bayesian approach Competing risks Survival data Masked causes of failure Partly interval-censored data Covariates |
| status_str | publishedVersion |
| 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 | A Bayesian Approach to Competing Risks Model with Masked Causes of Failure and Incomplete Failure Times |
| topic | Mathematical sciences Statistics Bayesian approach Competing risks Survival data Masked causes of failure Partly interval-censored data Covariates |