Identifying hotspots of cardiometabolic outcomes based on a Bayesian approach : The example of Chile

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dc.contributor.authorAguayo, G. A.
dc.contributor.authorSchritz, A.
dc.contributor.authorRuiz-Castell, M.
dc.contributor.authorVillarroel del Pino, Luis A.
dc.contributor.authorValdivia, G.
dc.contributor.authorFagherazzi, G.
dc.contributor.authorWitte, D. R.
dc.contributor.authorLawson, A.
dc.date.accessioned2021-09-09T14:35:34Z
dc.date.available2021-09-09T14:35:34Z
dc.date.issued2020
dc.fechaingreso.objetodigital2024-10-23
dc.format.extent16 páginas
dc.fuente.origenConveris
dc.identifier.doi10.1371/journal.pone.0235009
dc.identifier.issn1932-6203
dc.identifier.pubmedid32569307
dc.identifier.urihttps://doi.org/10.1371/journal.pone.0235009
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/62244
dc.identifier.wosidWOS:000543547900003
dc.information.autorucEscuela de Medicina ; Villarroel del Pino, Luis A. ; 0000-0001-9603-937X ; 77182
dc.issue.numeroNo. 6
dc.language.isoen
dc.nota.accesoContenido completo
dc.pagina.final16
dc.pagina.inicio1
dc.revistaPLOS ONEes_ES
dc.rightsacceso abierto
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleIdentifying hotspots of cardiometabolic outcomes based on a Bayesian approach : The example of Chilees_ES
dc.typeartículo
dc.volumenVol. 15
sipa.codpersvinculados77182
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