Fully Nonparametric Regression Modelling of Misclassified Censored Time-to-Event Data
dc.catalogador | dfo | |
dc.contributor.author | Jara, Alejandro | |
dc.contributor.author | Garcia Zattera, María José | |
dc.contributor.author | Komárek, Arnost | |
dc.date.accessioned | 2024-06-26T14:29:20Z | |
dc.date.available | 2024-06-26T14:29:20Z | |
dc.date.issued | 2015 | |
dc.description.abstract | We propose a fully nonparametric modelling approach for time-to-event regression data, when the response of interest can only be determined to lie in an interval obtained from a sequence of examination times and the determination of the occurrence of the event is subject to misclassification. The covariate-dependent time-to-event distributions are modelled using a linear dependent Dirichlet process mixture model. A general misclassification model is discussed, considering the possibility that different examiners were involved in the assessment of the occurrence of the events for a given subject across time. An advantage of the proposed model is that the underlying time-to-event distributions and the misclassification parameters can be estimated without any external information about the latter parameters. | |
dc.description.funder | FONDECYT | |
dc.fuente.origen | Historial Académico | |
dc.identifier.citation | Alejandro Jara, María José García-Zattera, Arnost Komárek. Fully Nonparametric Regression Modelling of Misclassified Censored Time-to-Event Data. In: Riten Mitra and Peter Mueller,editors. Nonparametric Bayesian Inference in Biostatistics. Springer; 2015. p. 247-267. | |
dc.identifier.doi | 10.1007/978-3-319-19518-6_12 | |
dc.identifier.isbn | 978-3-319-19517-9 | |
dc.identifier.uri | https://doi.org/10.1007/978-3-319-19518-6_12 | |
dc.identifier.uri | https://repositorio.uc.cl/handle/11534/86862 | |
dc.identifier.wosid | WOS:000376610800013 | |
dc.information.autoruc | Matemática;Alejandro Jara;S/I;127927 | |
dc.information.autoruc | Facultad de Matemáticas; Garcia Zattera Maria Jose; S/I; 14903 | |
dc.language.iso | en | |
dc.nota.acceso | Contenido parcial | |
dc.pagina.final | 267 | |
dc.pagina.inicio | 247 | |
dc.relation.ispartof | Nonparametric Bayesian Inference in Biostatistics | |
dc.rights | acceso restringido | |
dc.subject | Hazard Function | |
dc.subject | Dirichlet Process | |
dc.subject | Accelerate Failure Time Model | |
dc.subject | Gamma Process | |
dc.subject | Dirichlet Process Mixture | |
dc.subject.ddc | 510 | |
dc.subject.dewey | Matemática física y química | es_ES |
dc.subject.ods | 03 Good health and well-being | |
dc.subject.odspa | 03 Salud y bienestar | |
dc.title | Fully Nonparametric Regression Modelling of Misclassified Censored Time-to-Event Data | |
dc.type | capítulo de libro | |
sipa.codpersvinculados | 127927 | |
sipa.codpersvinculados | 14903 | |
sipa.trazabilidad | Historial Académico;09-07-2021 |