Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/22425
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dc.contributor.authorUng, David-
dc.contributor.authorKim, Joosup-
dc.contributor.authorThrift, Amanda G-
dc.contributor.authorCadilhac, Dominique A-
dc.contributor.authorAndrew, Nadine E-
dc.contributor.authorSundararajan, Vijaya-
dc.contributor.authorKapral, Moira K-
dc.contributor.authorReeves, Mathew-
dc.contributor.authorKilkenny, Monique F-
dc.date.accessioned2020-01-13T04:06:15Z-
dc.date.available2020-01-13T04:06:15Z-
dc.date.issued2019-05-
dc.identifier.citationStroke 2019; 50(5): 1302-1309-
dc.identifier.urihttp://ahro.austin.org.au/austinjspui/handle/1/22425-
dc.language.isoeng-
dc.subjectbig data-
dc.subjectcohort studies-
dc.subjectdata collection-
dc.subjectdata linkage-
dc.subjectmortality-
dc.subjectregistries-
dc.subjectstroke-
dc.titlePromising Use of Big Data to Increase the Efficiency and Comprehensiveness of Stroke Outcomes Research.-
dc.typeJournal Article-
dc.typeReview-
dc.identifier.journaltitleStroke-
dc.identifier.affiliationStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia-
dc.identifier.affiliationPeninsula Clinical School, Central Clinical School, Monash University, Frankston, Victoria, Australiaen
dc.identifier.affiliationStroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australiaen
dc.identifier.affiliationLa Trobe University, Melbourne, Victoria, Australiaen
dc.identifier.affiliationDepartment of Public Health, School of Psychology and Public Health, College of Science Health and Engineering, La Trobe University, Bundoora, Victoria, Australiaen
dc.identifier.affiliationDivision of General Internal Medicine, Department of Medicine, University of Toronto, ON, Canada-
dc.identifier.affiliationDepartment of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI-
dc.identifier.doi10.1161/STROKEAHA.118.020372-
dc.identifier.orcid0000-0001-8162-682X-
dc.identifier.orcid0000-0002-3375-287X-
dc.identifier.pubmedid31009352-
Appears in Collections:Journal articles

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