Cross-sectional and longitudinal approaches in a survival mixture model

In this article, we explore the performance of estimators in mixture sur- vival model using simulated data recorded cross-sectionally and longitudinally. We use the maximum likelihood estimation approach in estimating the unknown model parameters. We found, in particular, that the maximum likelihood...

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Main Authors:	Mohd. Khalid, Zarina, J.T Borgan, Morgan
Format:	Article
Language:	English
Published:	Faculty of Science, UTM 2008
Subjects:	QA Mathematics
Online Access:	http://eprints.utm.my/id/eprint/11720/1/ZarinaMohdKhalid2008_Cross-sectional_and_longitudinal_approaches.pdf http://eprints.utm.my/id/eprint/11720/ http://www.fs.utm.my/matematika/images/stories/matematika/200824211.pdf
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Institution:	Universiti Teknologi Malaysia
Language:	English

id	my.utm.11720
record_format	eprints
spelling	my.utm.117202017-02-14T08:29:24Z http://eprints.utm.my/id/eprint/11720/ Cross-sectional and longitudinal approaches in a survival mixture model Mohd. Khalid, Zarina J.T Borgan, Morgan QA Mathematics In this article, we explore the performance of estimators in mixture sur- vival model using simulated data recorded cross-sectionally and longitudinally. We use the maximum likelihood estimation approach in estimating the unknown model parameters. We found, in particular, that the maximum likelihood estimator for the proportion of long-term survivors in longitudinal setting gain better efficiency and precision for a certain distance of recording time. Faculty of Science, UTM 2008 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/11720/1/ZarinaMohdKhalid2008_Cross-sectional_and_longitudinal_approaches.pdf Mohd. Khalid, Zarina and J.T Borgan, Morgan (2008) Cross-sectional and longitudinal approaches in a survival mixture model. Matematika, 24 (2). pp. 231-242. ISSN 0127-8274 http://www.fs.utm.my/matematika/images/stories/matematika/200824211.pdf
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
language	English
topic	QA Mathematics
spellingShingle	QA Mathematics Mohd. Khalid, Zarina J.T Borgan, Morgan Cross-sectional and longitudinal approaches in a survival mixture model
description	In this article, we explore the performance of estimators in mixture sur- vival model using simulated data recorded cross-sectionally and longitudinally. We use the maximum likelihood estimation approach in estimating the unknown model parameters. We found, in particular, that the maximum likelihood estimator for the proportion of long-term survivors in longitudinal setting gain better efficiency and precision for a certain distance of recording time.
format	Article
author	Mohd. Khalid, Zarina J.T Borgan, Morgan
author_facet	Mohd. Khalid, Zarina J.T Borgan, Morgan
author_sort	Mohd. Khalid, Zarina
title	Cross-sectional and longitudinal approaches in a survival mixture model
title_short	Cross-sectional and longitudinal approaches in a survival mixture model
title_full	Cross-sectional and longitudinal approaches in a survival mixture model
title_fullStr	Cross-sectional and longitudinal approaches in a survival mixture model
title_full_unstemmed	Cross-sectional and longitudinal approaches in a survival mixture model
title_sort	cross-sectional and longitudinal approaches in a survival mixture model
publisher	Faculty of Science, UTM
publishDate	2008
url	http://eprints.utm.my/id/eprint/11720/1/ZarinaMohdKhalid2008_Cross-sectional_and_longitudinal_approaches.pdf http://eprints.utm.my/id/eprint/11720/ http://www.fs.utm.my/matematika/images/stories/matematika/200824211.pdf
_version_	1643645757505404928

Cross-sectional and longitudinal approaches in a survival mixture model

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