Nonparametric Inference in Mixture Cure Models

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UDC.coleccionInvestigaciónes_ES
UDC.conferenceTitleXoveTIC Congresses_ES
UDC.departamentoMatemáticases_ES
UDC.grupoInvModelización, Optimización e Inferencia Estatística (MODES)es_ES
UDC.issue18es_ES
UDC.journalTitleProceedingses_ES
UDC.volume2es_ES
dc.contributor.authorLópez-Cheda, Ana
dc.contributor.authorCao, Ricardo
dc.contributor.authorJácome, M. A.
dc.contributor.authorKeilegom, Ingrid Van
dc.date.accessioned2023-12-21T13:18:58Z
dc.date.available2023-12-21T13:18:58Z
dc.date.issued2018-09
dc.descriptionPresented at the XoveTIC Congress, A Coruña, Spain, 27–28 September 2018.es_ES
dc.description.abstract[Abstract]: A completely nonparametric method for the estimation of mixture cure models is proposed. Nonparametric estimators for the cure probability (incidence) and for the survival function of the uncured population (latency) are introduced. In addition, a bootstrap bandwidth selection method for each nonparametric estimator is considered. The methodology is applied to a dataset of colorectal cancer patients from the University Hospital of A Coruña (CHUAC). Furthermore, a nonparametric covariate significance test for the incidence is proposed. The test is extended to non-continuous covariates: binary, discrete and qualitative, and also to contexts with a large number of covariates. The method is applied to a sarcomas dataset from the University Hospital of Santiago (CHUS).es_ES
dc.description.sponsorshipThe first author was sponsored by the Spanish FPU (Formación de Profesorado Universitario) Grant from MECD (Ministerio de Educación, Cultura y Deporte) with reference FPU13/01371. The work has been partially carried out during two visits at the Université catholique de Louvain. The first stay was financed by INDITEX and the second one was supported by the research group MODES (Modelización, Optimización e Inferencia Estadística). All the authors acknowledge partial support by the MICINN (Ministerio de Ciencia e Innovación) Grant MTM2011-22392 and the MINECO (Ministerio de Economía y Competitividad) Grant MTM2014-52876-R. The first three authors acknowledge partial support of Xunta de Galicia (Grupos de Referencia Competitiva CN2012/130, ED431C-2016-015 and Centro Singular de Investigación de Galicia ED431G/01), all of them through the ERDF (European Regional Development Fund). Financial support from the European Research Council (2016-2021, Horizon 2020 / ERC grant agreement No. 694409) is gratefully acknowledged.es_ES
dc.description.sponsorshipXunta de Galicia; CN2012/130es_ES
dc.description.sponsorshipXunta de Galicia; ED431C-2016-015es_ES
dc.description.sponsorshipXunta de Galicia; ED431G/01es_ES
dc.identifier.citationA. López-Cheda, R. Cao, M. A. Jácome, y I. V. Keilegom, «Nonparametric Inference in Mixture Cure Models», Proceedings, vol. 2, n.º 18, Art. n.º 18, 2018, doi: 10.3390/proceedings2181181.es_ES
dc.identifier.issn2504-3900
dc.identifier.urihttp://hdl.handle.net/2183/34592
dc.language.isoenges_ES
dc.publisherMDPIes_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.projectIDinfo:eu-repo/grantAgreement/EC/H2020/694409es_ES
dc.relation.urihttps://doi.org/10.3390/proceedings2181181es_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectBandwidth selectiones_ES
dc.subjectBootstrapes_ES
dc.subjectCensored dataes_ES
dc.subjectKernel estimationes_ES
dc.subjectSurvival analysises_ES
dc.titleNonparametric Inference in Mixture Cure Modelses_ES
dc.typeconference outputes_ES
dspace.entity.typePublication
relation.isAuthorOfPublication811e9787-a857-4c18-8295-268b4014b4bc
relation.isAuthorOfPublication3360aaca-39be-43b4-a458-974e79cdbc6b
relation.isAuthorOfPublicatione629ebcc-3475-4638-b4e7-bf3e786f997c
relation.isAuthorOfPublication.latestForDiscovery811e9787-a857-4c18-8295-268b4014b4bc

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