dc.date.accessioned2019-03-27T15:56:56Z
dc.date.accessioned2022-10-18T22:07:33Z
dc.date.available2019-03-27T15:56:56Z
dc.date.available2022-10-18T22:07:33Z
dc.date.created2019-03-27T15:56:56Z
dc.date.issued2016
dc.identifierhttp://hdl.handle.net/10533/233680
dc.identifier1141193
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4465037
dc.description.abstractMotivated by a longitudinal oral health study, we propose a modelling approach for clustered time-to-event 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
dc.languageeng
dc.relationinfo:eu-repo/grantAgreement/Fondecyt/1141193
dc.relationJoint Statistical Meetings
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleAFT Modeling of Misclassified Clustered Interval-Censored Data
dc.typePonencia


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