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...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universiti Kebangsaan Malaysia
2013
|
| Online Access: | http://journalarticle.ukm.my/6163/ http://journalarticle.ukm.my/6163/1/17_Fang_Yen_Yen.pdf |
| _version_ | 1848811063543332864 |
|---|---|
| author | Fang, Yen Yen Suraiya Kassim, |
| author_facet | Fang, Yen Yen Suraiya Kassim, |
| author_sort | Fang, Yen Yen |
| building | UKM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T23:40:27Z |
| format | Article |
| id | oai:generic.eprints.org:6163 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T23:40:27Z |
| publishDate | 2013 |
| publisher | Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org: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/ |
| spellingShingle | Fang, Yen Yen Suraiya Kassim, A non-parametric survival estimate after elimination of a cause of failure |
| title | 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_short | 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 |
| url | http://journalarticle.ukm.my/6163/ http://journalarticle.ukm.my/6163/ http://journalarticle.ukm.my/6163/1/17_Fang_Yen_Yen.pdf |