Analysis of partly interval-censored data under competing risks framework
Bayesian inference for partly interval-censored data is considered when there are two or more causes of failure with possibility of being masked. Cox proportional hazard model is adopted to estimate the regression coefficients. Simulation data show that the developed model is feasible and easy to im...
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my.iium.irep.528032017-03-19T05:23:55Z http://irep.iium.edu.my/52803/ Analysis of partly interval-censored data under competing risks framework Yosra, Yousif Elfaki, Faiz Ahmed Mohamed Hrairi, Meftah T57 Applied mathematics. Quantitative methods. Operation research. System analysis TA329 Engineering mathematics. Engineering analysis Bayesian inference for partly interval-censored data is considered when there are two or more causes of failure with possibility of being masked. Cox proportional hazard model is adopted to estimate the regression coefficients. Simulation data show that the developed model is feasible and easy to implement. 2016-08 Article REM application/pdf en http://irep.iium.edu.my/52803/1/20160804.pdf Yosra, Yousif and Elfaki, Faiz Ahmed Mohamed and Hrairi, Meftah (2016) Analysis of partly interval-censored data under competing risks framework. International Journal of Computer Science and Network Security, 16 (8). pp. 25-28. ISSN 1738-7906 http://paper.ijcsns.org/07_book/201608/20160804.pdf |
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Malaysia |
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English |
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T57 Applied mathematics. Quantitative methods. Operation research. System analysis TA329 Engineering mathematics. Engineering analysis |
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T57 Applied mathematics. Quantitative methods. Operation research. System analysis TA329 Engineering mathematics. Engineering analysis Yosra, Yousif Elfaki, Faiz Ahmed Mohamed Hrairi, Meftah Analysis of partly interval-censored data under competing risks framework |
| description |
Bayesian inference for partly interval-censored data is considered when there are two or more causes of failure with possibility of being masked. Cox proportional hazard model is adopted to estimate the regression coefficients. Simulation data show that the developed model is feasible and easy to implement. |
| format |
Article |
| author |
Yosra, Yousif Elfaki, Faiz Ahmed Mohamed Hrairi, Meftah |
| author_facet |
Yosra, Yousif Elfaki, Faiz Ahmed Mohamed Hrairi, Meftah |
| author_sort |
Yosra, Yousif |
| title |
Analysis of partly interval-censored data under competing risks framework |
| title_short |
Analysis of partly interval-censored data under competing risks framework |
| title_full |
Analysis of partly interval-censored data under competing risks framework |
| title_fullStr |
Analysis of partly interval-censored data under competing risks framework |
| title_full_unstemmed |
Analysis of partly interval-censored data under competing risks framework |
| title_sort |
analysis of partly interval-censored data under competing risks framework |
| publishDate |
2016 |
| url |
http://irep.iium.edu.my/52803/1/20160804.pdf http://irep.iium.edu.my/52803/ http://paper.ijcsns.org/07_book/201608/20160804.pdf |
| _version_ |
1643614236220325888 |