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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Main Authors: Yosra, Yousif, Elfaki, Faiz Ahmed Mohamed, Hrairi, Meftah
Format: Article
Language:English
Published: 2016
Subjects:
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
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
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spelling 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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic T57 Applied mathematics. Quantitative methods. Operation research. System analysis
TA329 Engineering mathematics. Engineering analysis
spellingShingle 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
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