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Parametric regression models for recurrent events analysis based on Chen distribution

2019Conference object Open access
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dc.contributor.authorSousa-Ferreira, Ivo
dc.contributor.authorAbreu, Ana Maria
dc.contributor.authorRocha, Cristina
dc.date.accessioned2022-05-13T09:06:44Z
dc.date.available2022-05-13T09:06:44Z
dc.date.issued2019
dc.description.abstractIn this paper, two parametric regression models based on Chen dis tribution are proposed for situations where recurrent events have the same or dif ferent risks of occurrence. Inference is based on a maximum likelihood approach, which ensures consistent parameter estimators. However, since in recurrent event data there is within-subject correlation, the “one step” jackknife estimator is used. An application on a real data set is also provided for illustrative purposes.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSousa-Ferreira, I., Abreu, A. M. e Rocha., C. (2019). Parametric regression models for recurrent events analysis based on Chen distribution. Em Meira-Machado, L. e Soutinho, G. (eds), Proceedings of the 34th International Workshop on Statistical Modelling, Vol. 2, p. 200-205. ISBN: 978-989-20-9630-8.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/4277
dc.language.isoengpt_PT
dc.publisherStatistical Modelling Societypt_PT
dc.relationCentre of Statistics and its Applications
dc.relationResearch Centre for Mathematics and Applications
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectBathtub-shaped hazardpt_PT
dc.subjectChen distributionpt_PT
dc.subjectParametric survival modelspt_PT
dc.subjectRecurrent eventspt_PT
dc.subjectVariance corrected modelspt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.titleParametric regression models for recurrent events analysis based on Chen distributionpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleCentre of Statistics and its Applications
oaire.awardTitleResearch Centre for Mathematics and Applications
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FMAT%2F00006%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FMAT%2F04674%2F2019/PT
oaire.citation.endPage205pt_PT
oaire.citation.startPage200pt_PT
oaire.citation.titleProceedings of the 34th International Workshop on Statistical Modellingpt_PT
oaire.citation.volume2pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameSousa Ferreira
person.familyNameCortesão Pais Figueira da Silva Abreu
person.givenNameIvo Miguel
person.givenNameAna Maria
person.identifier.ciencia-id6E10-F64C-8B54
person.identifier.ciencia-id2013-43DF-3CB0
person.identifier.orcid0000-0001-5526-3594
person.identifier.orcid0000-0002-6155-8492
person.identifier.scopus-author-id57193736632
person.identifier.scopus-author-id55973527500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication237f47b0-8e6c-4e16-875e-cb59c862c6fb
relation.isAuthorOfPublication.latestForDiscovery237f47b0-8e6c-4e16-875e-cb59c862c6fb
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