Bayesian analysis of masked competing risks data based on proportional subdistribution hazards model
Masked issues can emerge when dealing with competing risk data. Such issues are exemplified by the cause of a particular failure not being directly exhibited for all units to observe but only proven to be a subset of possible causes of failure. For assessing the impact of explanatory variables (cova...
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| Main Authors: | , , , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
MDPI
2022
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| 主題: | |
| 在線閱讀: | http://irep.iium.edu.my/99656/1/99656_Bayesian%20analysis%20of%20masked.pdf http://irep.iium.edu.my/99656/ https://www.mdpi.com/journal/mathematics |
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| 機構: | Universiti Islam Antarabangsa Malaysia |
| 語言: | English |