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Nonparametric Inference for Mixture Cure Model When Cure Information Is Partially Available
| dc.contributor.author | Clarence Safari, Wende | |
| dc.contributor.author | López-de-Ullibarri, Ignacio | |
| dc.contributor.author | Jácome, M. A. | |
| dc.date.accessioned | 2022-01-14T20:05:54Z | |
| dc.date.available | 2022-01-14T20:05:54Z | |
| dc.date.issued | 2021 | |
| dc.identifier.citation | Safari, W.C.; López-de-Ullibarri, I.; Jácome, M.A. Nonparametric Inference for Mixture Cure Model When Cure Information Is Partially Available. Eng. Proc. 2021, 7, 17. https://doi.org/10.3390/engproc2021007017 | es_ES |
| dc.identifier.uri | http://hdl.handle.net/2183/29396 | |
| dc.description | Presented at the 4th XoveTIC Conference, A Coruña, Spain, 7–8 October 2021. | es_ES |
| dc.description.abstract | [Abstract] We introduce nonparametric estimators to estimate the conditional survival function, cure probability and latency function in the setting of a mixture cure model when the cure status is partially known. For the sake of illustration, we present an application concerning patients hospitalized with COVID-19 in Galicia (Spain) during the first outbreak of the epidemic. | es_ES |
| dc.description.sponsorship | This work has been supported by MINECO grant MTM2017-82724-R and the Xunta de Galicia (Grupos de Referencia Competitiva ED431C-2016-014) and we wish to acknowledge the support received from the Centro de Investigación de Galicia “CITIC” funded by Xunta de Galicia and the European Union (European Regional Development Fund Galicia 2014–2020 Program) by grant ED431G 2019/01 | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431C-2016-014 | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431G 2019/01 | es_ES |
| dc.language.iso | eng | es_ES |
| dc.publisher | MDPI | es_ES |
| dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/MTM2017-82724-R/ES/INFERENCIA ESTADISTICA FLEXIBLE PARA DATOS COMPLEJOS DE GRAN VOLUMEN Y DE ALTA DIMENSION | |
| dc.relation.uri | https://doi.org/10.3390/engproc2021007017 | es_ES |
| dc.rights | Atribución 4.0 Internacional | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
| dc.subject | COVID-19 | es_ES |
| dc.subject | ICU | es_ES |
| dc.subject | Kernel estimators | es_ES |
| dc.subject | Mixture cure model | es_ES |
| dc.subject | Survival analysis | es_ES |
| dc.title | Nonparametric Inference for Mixture Cure Model When Cure Information Is Partially Available | es_ES |
| dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
| dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
| UDC.journalTitle | Engineering Proceedings | es_ES |
| UDC.volume | 7 | es_ES |
| UDC.issue | 1 | es_ES |
| UDC.startPage | 17 | es_ES |
| dc.identifier.doi | 10.3390/engproc2021007017 |
