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Performance of a statistical model to predict stroke outcome in the context of a large, simple, randomized, controlled trial of feeding

dc.contributor.authorDennis, M
dc.date.accessioned2021-03-05T16:17:28Z
dc.date.available2021-03-05T16:17:28Z
dc.date.issued2003
dc.identifier.citationDennis M., "Performance of a statistical model to predict stroke outcome in the context of a large, simple, randomized, controlled trial of feeding", STROKE, cilt.34, ss.127-133, 2003
dc.identifier.issn0039-2499
dc.identifier.otherav_bfeaa84b-1481-47fb-8452-4831dea3f699
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/127400
dc.identifier.urihttps://doi.org/10.1161/01.str.0000044165.41303.50
dc.description.abstractBackground and Purpose-Statistical models to predict the outcome of stroke patients have several uses. Their utility depends on their predictive accuracy in patients other than those on whom they were developed (ie, external validity). We sought to test the external validity of some recently described models in patients enrolled in the FOOD (Feed Or Ordinary Diet) trial: a large randomized trial evaluating feeding policies in patients with stroke.
dc.language.isoeng
dc.subjectTıp
dc.subjectNöroloji
dc.subjectSağlık Bilimleri
dc.subjectDahili Tıp Bilimleri
dc.subjectPERİFERAL VASKÜLER HASTALIĞI
dc.subjectKlinik Tıp (MED)
dc.subjectKlinik Tıp
dc.subjectKLİNİK NEUROLOJİ
dc.titlePerformance of a statistical model to predict stroke outcome in the context of a large, simple, randomized, controlled trial of feeding
dc.typeMakale
dc.relation.journalSTROKE
dc.contributor.department, ,
dc.identifier.volume34
dc.identifier.issue1
dc.identifier.startpage127
dc.identifier.endpage133
dc.contributor.firstauthorID90124


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