A non-parametric survival estimate after elimination of a cause of failure

In competing risks analysis, the primary interest of researchers is the estimation of the net survival probability (NSP) if a cause of failure could be eliminated from a population. The Kaplan-Meier product-limit estimator under the assumption that the eliminated risk is non-informative to the other...

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Main Authors:	Fang, Yen Yen, Suraiya Kassim
Format:	Article
Language:	English
Published:	Universiti Kebangsaan Malaysia 2013
Online Access:	http://journalarticle.ukm.my/6163/ http://journalarticle.ukm.my/6163/ http://journalarticle.ukm.my/6163/1/17_Fang_Yen_Yen.pdf

id	ukm-6163
recordtype	eprints
spelling	ukm-61632016-12-14T06:40:31Z http://journalarticle.ukm.my/6163/ A non-parametric survival estimate after elimination of a cause of failure Fang, Yen Yen Suraiya Kassim, In competing risks analysis, the primary interest of researchers is the estimation of the net survival probability (NSP) if a cause of failure could be eliminated from a population. The Kaplan-Meier product-limit estimator under the assumption that the eliminated risk is non-informative to the other remaining risks, has been widely used in the estimation of the NSP. The assumption implies that the hazard of the remaining risks before and after the elimination are equal and it could be biased. This paper addressed this possible bias by proposing a non-parametric multistate approach that accounts for an informative eliminated risk in the estimation procedure, whereby the hazard probabilities of the remaining risks before and after the elimination of a risk are not assumed to be equal. When a non-informative eliminated risk was assumed, it was shown that the proposed multistate estimator reduces to the Kaplan-Meier estimator. For illustration purposes, the proposed procedure was implemented on a published dataset and the change in hazard after elimination of a cause is investigated. Comparing the results to those obtained from using the Kaplan-Meier method, it was found that in the presence of (both constant and non-constant) informative eliminated risk, the proposed multistate approach was more sensitive and flexible. Universiti Kebangsaan Malaysia 2013-05 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/6163/1/17_Fang_Yen_Yen.pdf Fang, Yen Yen and Suraiya Kassim, (2013) A non-parametric survival estimate after elimination of a cause of failure. Sains Malaysiana, 42 (5). 673 -683. ISSN 0126-6039 http://www.ukm.my/jsm/
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	In competing risks analysis, the primary interest of researchers is the estimation of the net survival probability (NSP) if a cause of failure could be eliminated from a population. The Kaplan-Meier product-limit estimator under the assumption that the eliminated risk is non-informative to the other remaining risks, has been widely used in the estimation of the NSP. The assumption implies that the hazard of the remaining risks before and after the elimination are equal and it could be biased. This paper addressed this possible bias by proposing a non-parametric multistate approach that accounts for an informative eliminated risk in the estimation procedure, whereby the hazard probabilities of the remaining risks before and after the elimination of a risk are not assumed to be equal. When a non-informative eliminated risk was assumed, it was shown that the proposed multistate estimator reduces to the Kaplan-Meier estimator. For illustration purposes, the proposed procedure was implemented on a published dataset and the change in hazard after elimination of a cause is investigated. Comparing the results to those obtained from using the Kaplan-Meier method, it was found that in the presence of (both constant and non-constant) informative eliminated risk, the proposed multistate approach was more sensitive and flexible.
format	Article
author	Fang, Yen Yen Suraiya Kassim,
spellingShingle	Fang, Yen Yen Suraiya Kassim, A non-parametric survival estimate after elimination of a cause of failure
author_facet	Fang, Yen Yen Suraiya Kassim,
author_sort	Fang, Yen Yen
title	A non-parametric survival estimate after elimination of a cause of failure
title_short	A non-parametric survival estimate after elimination of a cause of failure
title_full	A non-parametric survival estimate after elimination of a cause of failure
title_fullStr	A non-parametric survival estimate after elimination of a cause of failure
title_full_unstemmed	A non-parametric survival estimate after elimination of a cause of failure
title_sort	non-parametric survival estimate after elimination of a cause of failure
publisher	Universiti Kebangsaan Malaysia
publishDate	2013
url	http://journalarticle.ukm.my/6163/ http://journalarticle.ukm.my/6163/ http://journalarticle.ukm.my/6163/1/17_Fang_Yen_Yen.pdf
first_indexed	2023-09-18T19:46:09Z
last_indexed	2023-09-18T19:46:09Z
_version_	1777405913287622656

A non-parametric survival estimate after elimination of a cause of failure

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