Nonparametric latency estimation for mixture cure models

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UDC.coleccionInvestigaciónes_ES
UDC.departamentoMatemáticases_ES
UDC.endPage376es_ES
UDC.grupoInvModelización, Optimización e Inferencia Estatística (MODES)es_ES
UDC.journalTitleTESTes_ES
UDC.startPage353es_ES
UDC.volume26es_ES
dc.contributor.authorLópez-Cheda, Ana
dc.contributor.authorJácome, M. A.
dc.contributor.authorCao, Ricardo
dc.date.accessioned2023-12-21T12:01:28Z
dc.date.available2023-12-21T12:01:28Z
dc.date.issued2017-06
dc.descriptionThis version of the article has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s11749-016-0515-1es_ES
dc.description.abstract[Abstract]: A nonparametric latency estimator for mixture cure models is studied in this paper. An i.i.d. representation is obtained, the asymptotic mean squared error of the latency estimator is found, and its asymptotic normality is proven. A bootstrap bandwidth selection method is introduced and its efficiency is evaluated in a simulation study. The proposed methods are applied to a dataset of colorectal cancer patients in the University Hospital of A Coruña (CHUAC).es_ES
dc.description.sponsorshipThe first author’s research was sponsored by the Spanish FPU (Formación de Profesorado Universitario) Grant from MECD (Ministerio de Educación, Cultura y Deporte) with reference FPU13/01371. All the authors acknowledge partial support by the MINECO (Ministerio de Economía y Competitividad) grant MTM2014-52876-R (EU ERDF support included), the MICINN (Ministerio de Ciencia e Innovación) Grant MTM2011-22392 (EU ERDF support included) and Xunta de Galicia GRC Grant CN2012/130. The authors are grateful to Dr. Sonia Pértega and Dr. Salvador Pita, at the University Hospital of A Coruña, for providing the colorectal cancer data set.es_ES
dc.description.sponsorshipXunta de Galicia; CN2012/130es_ES
dc.identifier.citationLópez-Cheda, A., Jácome, M.A. & Cao, R. Nonparametric latency estimation for mixture cure models. TEST 26, 353–376 (2017). https://doi.org/10.1007/s11749-016-0515-1es_ES
dc.identifier.issn1863-8260
dc.identifier.urihttp://hdl.handle.net/2183/34590
dc.language.isoenges_ES
dc.publisherSpringer Naturees_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MECD/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/FPU13%2F01371/ES/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2014-52876-R/ES/INFERENCIA ESTADISTICA COMPLEJA Y DE ALTA DIMENSION: EN GENOMICA, NEUROCIENCIA, ONCOLOGIA, MATERIALES COMPLEJOS, MALHERBOLOGIA, MEDIO AMBIENTE, ENERGIA Y APLICACIONES INDUSTRIALESes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MICINN/Plan Nacional de I+D+i 2008-2011/MTM2011-22392/ES/INFERENCIA ESTADISTICA PARA DATOS COMPLEJOS Y DE ALTA DIMENSION: APLICACIONES EN ANALISIS TERMICO, FIABILIDAD NAVAL, GENOMICA, MALHERBOLOGIA, NEUROCIENCIA Y ONCOLOGIAes_ES
dc.relation.urihttps://doi.org/10.1007/s11749-016-0515-1es_ES
dc.rightsCopyright © 2016, Sociedad de Estadística e Investigación Operativaes_ES
dc.rights.accessRightsopen accesses_ES
dc.subjectBandwidth selectiones_ES
dc.subjectBootstrapes_ES
dc.subjectCensored dataes_ES
dc.subjectKernel estimationes_ES
dc.subjectSurvival analysises_ES
dc.titleNonparametric latency estimation for mixture cure modelses_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
relation.isAuthorOfPublication811e9787-a857-4c18-8295-268b4014b4bc
relation.isAuthorOfPublicatione629ebcc-3475-4638-b4e7-bf3e786f997c
relation.isAuthorOfPublication3360aaca-39be-43b4-a458-974e79cdbc6b
relation.isAuthorOfPublication.latestForDiscovery811e9787-a857-4c18-8295-268b4014b4bc

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