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dc.contributor.authorVieira, Maria Gabriella Figueiredo-
dc.contributor.authorCardial, Marcílio Ramos Pereira-
dc.contributor.authorMatsushita, Raul-
dc.contributor.authorNakano, Eduardo Yoshio-
dc.date.accessioned2024-02-01T15:42:31Z-
dc.date.available2024-02-01T15:42:31Z-
dc.date.issued2023-12-06-
dc.identifier.citationVIEIRA, Maria Gabriella Figueiredo et al. Proportional odds hazard model for discrete time-to-event data. Axioms, v. 12, n. 12, 1102, 2023. DOI: https://doi.org/10.3390/axioms12121102. Disponível em: https://www.mdpi.com/2075-1680/12/12/1102. Acesso em: https://www.mdpi.com/2075-1680/12/12/1102. Acesso em: 01 fev. 2024.pt_BR
dc.identifier.urihttp://repositorio2.unb.br/jspui/handle/10482/47634-
dc.language.isoengpt_BR
dc.publisherMDPIpt_BR
dc.rightsAcesso Abertopt_BR
dc.titleProportional odds hazard model for discrete time-to-event datapt_BR
dc.typeArtigopt_BR
dc.subject.keywordModelo de regressãopt_BR
dc.subject.keywordAnálise de sobrevivênciapt_BR
dc.rights.licenseCopyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/)pt_BR
dc.identifier.doihttps://doi.org/10.3390/axioms12121102pt_BR
dc.description.abstract1: In this article, we present the development of the proportional odds hazard model for discrete time-to-event data. In this work, inferences about the model’s parameters were formulated considering the presence of right censoring and the discrete Weibull and log-logistic distributions. Simulation studies were carried out to check the asymptotic properties of the estimators. In addition, procedures for checking the proportional odds assumption were proposed, and the proposed model is illustrated using a dataset on the survival time of patients with low back pain.pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-2533-4720pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-3610-1623pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-8864-6356pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-9071-8512pt_BR
dc.contributor.affiliationUniversity of Brasilia, Department of Statisticspt_BR
dc.contributor.affiliationUniversity of São Paulo, Institute of Mathematical and Computer Sciences, São Carlospt_BR
dc.contributor.affiliationUniversity of Brasilia, Department of Statisticspt_BR
dc.contributor.affiliationUniversity of Brasilia, Department of Statisticspt_BR
dc.description.unidadeInstituto de Ciências Exatas (IE)pt_BR
dc.description.unidadeDepartamento de Estatística (IE EST)pt_BR
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