A semiparametric bayesian joint model for multiple mixed-type outcomes: an application to acute myocardial infarction

Advances in Data Analysis and Classification

dc.creatorGuglielmi, Alessandra
dc.creatorIeva, Francesca
dc.creatorPaganoni, Anna María
dc.creatorQuintana-Quintana, Fernando Andrés
dc.date2018-11-29T15:36:43Z
dc.date2022-07-07T15:52:28Z
dc.date2014
dc.date2018-11-29T15:36:43Z
dc.date2022-07-07T15:52:28Z
dc.date2018
dc.date.accessioned2023-08-22T01:29:31Z
dc.date.available2023-08-22T01:29:31Z
dc.identifier1141057
dc.identifier1141057
dc.identifierhttps://hdl.handle.net/10533/228473
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8306127
dc.descriptionWe propose a Bayesian semiparametric regression model to represent mixed-type multiple outcomes concerning patients affected by Acute Myocardial Infarction. Our approach is motivated by data coming from the ST-Elevation Myocardial Infarction (STEMI) Arch
dc.descriptionRegular
dc.descriptionFONDECYT
dc.descriptionFONDECYT
dc.languageeng
dc.relationhandle/10533/111556
dc.relationhandle/10533/111541
dc.relationhandle/10533/108045
dc.relationhttps://www.mate.polimi.it/biblioteca/add/qmox/39-2015.pdf
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleA semiparametric bayesian joint model for multiple mixed-type outcomes: an application to acute myocardial infarction
dc.titleAdvances in Data Analysis and Classification
dc.typeArticulo
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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