Subdistribution to cox's model for partly interval-censored data with application to aids studies

Subdistribution to cox's model for partly interval-censored data with application to aids studies

In this paper, we consider incomplete survival data that is, partly-interval failure time data where observed data include both exact and interval-censored observation on the survival time of interest. We presented a modification of Fine and Gray (1999) which proposed a class of estimation procedure...

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Main Author: Elfaki, Faiz Ahmed Mohamed
Format: Article
Language:English
Published: Asian Research Publishing Network (ARPN) 2015
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://irep.iium.edu.my/46123/
http://irep.iium.edu.my/46123/
http://irep.iium.edu.my/46123/1/Faiz_ARPN_November_2015.pdf
id iium-46123
recordtype eprints
spelling iium-461232018-01-08T09:20:56Z http://irep.iium.edu.my/46123/ Subdistribution to cox's model for partly interval-censored data with application to aids studies Elfaki, Faiz Ahmed Mohamed QA75 Electronic computers. Computer science In this paper, we consider incomplete survival data that is, partly-interval failure time data where observed data include both exact and interval-censored observation on the survival time of interest. We presented a modification of Fine and Gray (1999) which proposed a class of estimation procedures for semi-parametric proportional hazards regression model for the subdistribution of a competing risks model using the partial likelihood principle and weighting techniques. The method is evaluated using simulation studies and illustrated by AIDS data set. Asian Research Publishing Network (ARPN) 2015-11 Article PeerReviewed application/pdf en http://irep.iium.edu.my/46123/1/Faiz_ARPN_November_2015.pdf Elfaki, Faiz Ahmed Mohamed (2015) Subdistribution to cox's model for partly interval-censored data with application to aids studies. ARPN Journal of Engineering and Applied Sciences, 10 (21). pp. 10143-10146. ISSN 1819-6608 http://www.arpnjournals.org/jeas/research_papers/rp_2015/jeas_1115_3039.pdf
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Elfaki, Faiz Ahmed Mohamed
Subdistribution to cox's model for partly interval-censored data with application to aids studies
description In this paper, we consider incomplete survival data that is, partly-interval failure time data where observed data include both exact and interval-censored observation on the survival time of interest. We presented a modification of Fine and Gray (1999) which proposed a class of estimation procedures for semi-parametric proportional hazards regression model for the subdistribution of a competing risks model using the partial likelihood principle and weighting techniques. The method is evaluated using simulation studies and illustrated by AIDS data set.
format Article
author Elfaki, Faiz Ahmed Mohamed
author_facet Elfaki, Faiz Ahmed Mohamed
author_sort Elfaki, Faiz Ahmed Mohamed
title Subdistribution to cox's model for partly interval-censored data with application to aids studies
title_short Subdistribution to cox's model for partly interval-censored data with application to aids studies
title_full Subdistribution to cox's model for partly interval-censored data with application to aids studies
title_fullStr Subdistribution to cox's model for partly interval-censored data with application to aids studies
title_full_unstemmed Subdistribution to cox's model for partly interval-censored data with application to aids studies
title_sort subdistribution to cox's model for partly interval-censored data with application to aids studies
publisher Asian Research Publishing Network (ARPN)
publishDate 2015
url http://irep.iium.edu.my/46123/
http://irep.iium.edu.my/46123/
http://irep.iium.edu.my/46123/1/Faiz_ARPN_November_2015.pdf
first_indexed 2023-09-18T21:05:40Z
last_indexed 2023-09-18T21:05:40Z
_version_ 1777410916054204416

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