Tests of proportional hazards and proportional odds models for grouped survival data

dc.contributorUniversidade Federal de Minas Gerais (UFMG)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniversidade de São Paulo (USP)
dc.date.accessioned2014-05-20T13:47:39Z
dc.date.accessioned2022-10-05T14:17:04Z
dc.date.available2014-05-20T13:47:39Z
dc.date.available2022-10-05T14:17:04Z
dc.date.created2014-05-20T13:47:39Z
dc.date.issued2000-12-01
dc.identifierBiometrics. Washington: International Biometric Soc, v. 56, n. 4, p. 1233-1240, 2000.
dc.identifier0006-341X
dc.identifierhttp://hdl.handle.net/11449/16957
dc.identifier10.1111/j.0006-341X.2000.01233.x
dc.identifierWOS:000165872600038
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3891822
dc.description.abstractIn this paper, we derive score test statistics to discriminate between proportional hazards and proportional odds models for grouped survival data. These models are embedded within a power family transformation in order to obtain the score tests. In simple cases, some small-sample results are obtained for the score statistics using Monte Carlo simulations. Score statistics have distributions well approximated by the chi-squared distribution. Real examples illustrate the proposed tests.
dc.languageeng
dc.publisherInternational Biometric Soc
dc.relationBiometrics
dc.relation1.524
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectAranda-Ordaz family
dc.subjectinterval censoring
dc.subjectmaximum likelihood estimate
dc.subjectregression discrete models
dc.subjectscore test
dc.titleTests of proportional hazards and proportional odds models for grouped survival data
dc.typeArtigo


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