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:	T57 Applied mathematics. Quantitative methods. Operation research. System analysis TA329 Engineering mathematics. Engineering analysis
Online Access:	http://irep.iium.edu.my/52803/ http://irep.iium.edu.my/52803/ http://irep.iium.edu.my/52803/1/20160804.pdf

id	iium-52803
recordtype	eprints
spelling	iium-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 PeerReviewed 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
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
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/ http://irep.iium.edu.my/52803/ http://irep.iium.edu.my/52803/1/20160804.pdf
first_indexed	2023-09-18T21:14:48Z
last_indexed	2023-09-18T21:14:48Z
_version_	1777411490778710016

Analysis of partly interval-censored data under competing risks framework

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