Analysis of partly interval-censored data under competing risks framework

• Main Authors: Yosra, Yousif, Elfaki, Faiz Ahmed Mohamed, Hrairi, Meftah
• Format: Article
• Language: English
• Published: 2016
• Subjects: T57 Applied mathematics. Quantitative methods. Operation research. System analysis; TA329 Engineering mathematics. Engineering analysis
• Online Access: http://irep.iium.edu.my/52803/1/20160804.pdf; http://irep.iium.edu.my/52803/; http://paper.ijcsns.org/07_book/201608/20160804.pdf
• Institution: Universiti Islam Antarabangsa Malaysia

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...