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Analysis of partly interval-censored data under competing risks framework

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

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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.

Item Type: Article (Journal)
Additional Information: 4980/52803
Uncontrolled Keywords: Competing risk, partly interval censored data, bayesian analysis
Subjects: T Technology > T Technology (General) > T55.4 Industrial engineering.Management engineering. > T57 Applied mathematics. Quantitative methods. Operation research. System analysis
T Technology > TA Engineering (General). Civil engineering (General) > TA329 Engineering mathematics. Engineering analysis
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Mechanical Engineering
Depositing User: Prof. Dr. Meftah Hrairi
Date Deposited: 07 Nov 2016 12:17
Last Modified: 19 Mar 2017 13:23
URI: http://irep.iium.edu.my/id/eprint/52803

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