Regression analysis of masked competing risks data under cumulative incidence function framework
In the studies that involve competing risks, somehow, masking issues might arise. That is, the cause of failure for some subjects is only known as a subset of possible causes. In this study, a Bayesian analysis is developed to assess the effect of risks factor on the Cumulative Incidence Function (C...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English English English |
| Published: |
Austrian Statistical Society
2020
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/80510/1/80510_Regression%20Analysis%20of%20Masked%20Competing%20Risks.pdf http://irep.iium.edu.my/80510/2/80510_Regression%20Analysis%20of%20Masked%20Competing%20Risks_SCOPUS.pdf http://irep.iium.edu.my/80510/3/80510_Regression%20Analysis%20of%20Masked%20Competing%20Risks_WOS.pdf http://irep.iium.edu.my/80510/ https://www.ajs.or.at/index.php/ajs/article/view/1026 |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English English English |
| Summary: | In the studies that involve competing risks, somehow, masking issues might arise. That is, the cause of failure for some subjects is only known as a subset of possible causes. In this study, a Bayesian analysis is developed to assess the effect of risks factor on the Cumulative Incidence Function (CIF) by adopting the proportional subdistribution hazard model. Simulation is conducted to evaluate the performance of the proposed model and it shows that the model is feasible for the possible applications. |
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