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dc.contributor.authorCao, Ricardo
dc.date.accessioned2023-10-13T10:50:02Z
dc.date.available2023-10-13T10:50:02Z
dc.date.issued2023
dc.identifier.citationR. Cao, "Comments on: Nonparametric estimation in mixture cure models with covariates", TEST 32, pp. 499–505, 2023. https://doi.org/10.1007/s11749-023-00856-zes_ES
dc.identifier.urihttp://hdl.handle.net/2183/33762
dc.descriptionFinanciado para publicación en acceso aberto: Universidade da Coruña/CISUGes_ES
dc.descriptionOpen Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature.es_ES
dc.description.abstract[Abstract]: This paper discusses the invited paper by López-Cheda, Peng and Jácome on nonparametric mixture cure models with covariates. An alternative estimation procedure is proposed in this context. The situation when the two covariate vectors (the one in the incidence and in the latency parts) share some, but not all, their covariates is also considered. Some technical aspects in the assumptions, results and proofs of the invited paper are also discussed. Comments on the simulations and the real-data application are included. Finally, possible interesting topics for further research in this field are briefly discussed.es_ES
dc.description.sponsorshipThis research has been supported by MICINN Grant PID2020-113578RBI00 and by the Xunta de Galicia (Grupos de Referencia Competitiva ED431C-2020-14 and Centro de Investigación del Sistema Universitario de Galicia ED431G 2019/01), all of them through the European Regional Development Fund (ERDF). Funding for open access charge: Universidade da Coruña/CISUG.es_ES
dc.description.sponsorshipXunta de Galicia; ED431C-2020-14es_ES
dc.description.sponsorshipXunta de Galicia; ED431G 2019/01es_ES
dc.language.isoenges_ES
dc.publisherSpringer Science and Business Media Deutschland GmbHes_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113578RB-I00/ES/MÉTODOS ESTADÍSTICOS FLEXIBLES EN CIENCIA DE DATOS PARA DATOS COMPLEJOS Y DE GRAN VOLUMEN: TEORÍA Y APLICACIONESes_ES
dc.relation.urihttps://doi.org/10.1007/s11749-023-00856-zes_ES
dc.rightsAtribución 4.0 Internacional CC BY 4.0es_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectCensored dataes_ES
dc.subjectCure modelses_ES
dc.subjectNonparametric estimationes_ES
dc.titleComments on: Nonparametric estimation in mixture cure models with covariateses_ES
dc.typeinfo:eu-repo/semantics/annotationes_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleTESTes_ES
UDC.volume32es_ES
UDC.startPage499es_ES
UDC.endPage505es_ES
dc.identifier.doi10.1007/s11749-023-00856-z


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