MARC表示: Semiparametric binary model for clustered survival data

Semiparametric binary model for clustered survival data

This paper considers a method to analyze semiparametric binary models for clustered survival data when the responses are correlated. We extend parametric generalized estimating equation (GEE) to semiparametric GEE by introducing smoothing spline into the model. A backfitting algorithm is used in the...

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主要な著者:	Arlin, Rifina, Ibrahim, Noor Akma, Arasan, Jayanthi, Abu Bakar, Mohd Rizam
フォーマット:	Conference or Workshop Item
言語:	English
出版事項:	AIP Publishing LLC 2014
オンライン･アクセス:	http://psasir.upm.edu.my/id/eprint/57347/1/Semiparametric%20binary%20model%20for%20clustered%20survival%20data.pdf http://psasir.upm.edu.my/id/eprint/57347/
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id	my.upm.eprints.57347
record_format	eprints
spelling	my.upm.eprints.573472017-09-26T04:10:06Z http://psasir.upm.edu.my/id/eprint/57347/ Semiparametric binary model for clustered survival data Arlin, Rifina Ibrahim, Noor Akma Arasan, Jayanthi Abu Bakar, Mohd Rizam This paper considers a method to analyze semiparametric binary models for clustered survival data when the responses are correlated. We extend parametric generalized estimating equation (GEE) to semiparametric GEE by introducing smoothing spline into the model. A backfitting algorithm is used in the derivation of the estimating equation for the parametric and nonparametric components of a semiparametric binary covariate model. The properties of the estimates for both are evaluated using simulation studies. We investigated the effects of the strength of cluster correlation and censoring rates on properties of the parameters estimate. The effect of the number of clusters and cluster size are also discussed. Results show that the GEE-SS are consistent and efficient for parametric component and nonparametric component of semiparametric binary covariates. AIP Publishing LLC 2014 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/57347/1/Semiparametric%20binary%20model%20for%20clustered%20survival%20data.pdf Arlin, Rifina and Ibrahim, Noor Akma and Arasan, Jayanthi and Abu Bakar, Mohd Rizam (2014) Semiparametric binary model for clustered survival data. In: 22nd National Symposium on Mathematical Sciences (SKSM22), 24-26 Nov. 2014, Grand Bluewave Hotel, Selangor. . 10.1063/1.4932507
institution	Universiti Putra Malaysia
building	UPM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Putra Malaysia
content_source	UPM Institutional Repository
url_provider	http://psasir.upm.edu.my/
language	English
description	This paper considers a method to analyze semiparametric binary models for clustered survival data when the responses are correlated. We extend parametric generalized estimating equation (GEE) to semiparametric GEE by introducing smoothing spline into the model. A backfitting algorithm is used in the derivation of the estimating equation for the parametric and nonparametric components of a semiparametric binary covariate model. The properties of the estimates for both are evaluated using simulation studies. We investigated the effects of the strength of cluster correlation and censoring rates on properties of the parameters estimate. The effect of the number of clusters and cluster size are also discussed. Results show that the GEE-SS are consistent and efficient for parametric component and nonparametric component of semiparametric binary covariates.
format	Conference or Workshop Item
author	Arlin, Rifina Ibrahim, Noor Akma Arasan, Jayanthi Abu Bakar, Mohd Rizam
spellingShingle	Arlin, Rifina Ibrahim, Noor Akma Arasan, Jayanthi Abu Bakar, Mohd Rizam Semiparametric binary model for clustered survival data
author_facet	Arlin, Rifina Ibrahim, Noor Akma Arasan, Jayanthi Abu Bakar, Mohd Rizam
author_sort	Arlin, Rifina
title	Semiparametric binary model for clustered survival data
title_short	Semiparametric binary model for clustered survival data
title_full	Semiparametric binary model for clustered survival data
title_fullStr	Semiparametric binary model for clustered survival data
title_full_unstemmed	Semiparametric binary model for clustered survival data
title_sort	semiparametric binary model for clustered survival data
publisher	AIP Publishing LLC
publishDate	2014
url	http://psasir.upm.edu.my/id/eprint/57347/1/Semiparametric%20binary%20model%20for%20clustered%20survival%20data.pdf http://psasir.upm.edu.my/id/eprint/57347/
_version_	1643836460485312512
score	13.251813

Semiparametric binary model for clustered survival data

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