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Article: Cure rate model with mismeasured covariates under transformation
Title | Cure rate model with mismeasured covariates under transformation |
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Authors | |
Keywords | Cure model Errors-in-variables problem Proportional hazards model Semiparametric method Survival fraction |
Issue Date | 2008 |
Publisher | American Statistical Association. The Journal's web site is located at http://www.amstat.org/publications/jasa/index.cfm?fuseaction=main |
Citation | Journal Of The American Statistical Association, 2008, v. 103 n. 482, p. 743-756 How to Cite? |
Abstract | Cure rate models explicitly account for the survival fraction in failure time data. When the covariates are measured with errors, naively treating mismeasured covariates as error-free would cause estimation bias and thus lead to incorrect inference. Under the proportional hazards cure model, we propose a corrected score approach as well as its generalization, and implement a transformation on the mismeasured covariates toward error additivity and/or normality. The corrected score equations can be easily solved through the backfitting procedure, and the biases in the parameter estimates are successfully eliminated. We show that the proposed estimators for the regression coefficients are consistent and asymptotically normal. We conduct simulation studies to examine the finite-sample properties of the new method and apply it to a real data set for illustration. © 2008 American Statistical Association. |
Persistent Identifier | http://hdl.handle.net/10722/146587 |
ISSN | 2023 Impact Factor: 3.0 2023 SCImago Journal Rankings: 3.922 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
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dc.contributor.author | Ma, Y | en_HK |
dc.contributor.author | Yin, G | en_HK |
dc.date.accessioned | 2012-05-02T08:37:13Z | - |
dc.date.available | 2012-05-02T08:37:13Z | - |
dc.date.issued | 2008 | en_HK |
dc.identifier.citation | Journal Of The American Statistical Association, 2008, v. 103 n. 482, p. 743-756 | en_HK |
dc.identifier.issn | 0162-1459 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/146587 | - |
dc.description.abstract | Cure rate models explicitly account for the survival fraction in failure time data. When the covariates are measured with errors, naively treating mismeasured covariates as error-free would cause estimation bias and thus lead to incorrect inference. Under the proportional hazards cure model, we propose a corrected score approach as well as its generalization, and implement a transformation on the mismeasured covariates toward error additivity and/or normality. The corrected score equations can be easily solved through the backfitting procedure, and the biases in the parameter estimates are successfully eliminated. We show that the proposed estimators for the regression coefficients are consistent and asymptotically normal. We conduct simulation studies to examine the finite-sample properties of the new method and apply it to a real data set for illustration. © 2008 American Statistical Association. | en_HK |
dc.language | eng | en_US |
dc.publisher | American Statistical Association. The Journal's web site is located at http://www.amstat.org/publications/jasa/index.cfm?fuseaction=main | en_HK |
dc.relation.ispartof | Journal of the American Statistical Association | en_HK |
dc.subject | Cure model | en_HK |
dc.subject | Errors-in-variables problem | en_HK |
dc.subject | Proportional hazards model | en_HK |
dc.subject | Semiparametric method | en_HK |
dc.subject | Survival fraction | en_HK |
dc.title | Cure rate model with mismeasured covariates under transformation | en_HK |
dc.type | Article | en_HK |
dc.identifier.email | Yin, G: gyin@hku.hk | en_HK |
dc.identifier.authority | Yin, G=rp00831 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1198/016214508000000319 | en_HK |
dc.identifier.scopus | eid_2-s2.0-49549125190 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-49549125190&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 103 | en_HK |
dc.identifier.issue | 482 | en_HK |
dc.identifier.spage | 743 | en_HK |
dc.identifier.epage | 756 | en_HK |
dc.identifier.eissn | 1537-274X | - |
dc.identifier.isi | WOS:000257897500032 | - |
dc.publisher.place | United States | en_HK |
dc.identifier.scopusauthorid | Ma, Y=8908626500 | en_HK |
dc.identifier.scopusauthorid | Yin, G=8725807500 | en_HK |
dc.identifier.citeulike | 2997693 | - |
dc.identifier.issnl | 0162-1459 | - |