Cardiovascular risk can be represented by scaled rectangle diagrams

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dc.contributor.author Marshall, Roger en
dc.date.accessioned 2012-04-02T01:38:31Z en
dc.date.issued 2009 en
dc.identifier.citation J Clin Epidemiol 62(9):998-1000 Sep 2009 en
dc.identifier.issn 0895-4356 en
dc.identifier.uri http://hdl.handle.net/2292/16338 en
dc.description.abstract Objectives To show how levels of cardiovascular disease (CVD) risk and occurrence of CVD can be graphically represented. Study Design and Setting Methodological and using graphics to illustrate CVD risk prediction. Uses data on CVD risk and outcomes in three studies from New Zealand, China, and Scotland with levels of risk determined by multivariate risk scores. Results The diagrams clearly show that risk levels and actual CVD occurrence do not often occur together, many individuals at high risk do not experience a CVD event and conversely, many CVD events do not occur in the labeled high risk. Conclusion Scaled rectangles can easily be formed to show how modeled predicted risk levels and actual occurrence of CVD coincide. Poor discrimination is well illustrated. en
dc.publisher Elsevier en
dc.relation.ispartofseries Journal of Clinical Epidemiology en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from http://www.sherpa.ac.uk/romeo/issn/0895-4356/ en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title Cardiovascular risk can be represented by scaled rectangle diagrams en
dc.type Journal Article en
dc.identifier.doi 10.1016/j.jclinepi.2009.05.004 en
pubs.issue 9 en
pubs.begin-page 998 en
pubs.volume 62 en
dc.rights.holder Copyright: Elsevier en
dc.identifier.pmid 19635404 en
pubs.end-page 1000 en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Article en
pubs.elements-id 90921 en
pubs.org-id Medical and Health Sciences en
pubs.org-id Population Health en
pubs.org-id Epidemiology & Biostatistics en
pubs.record-created-at-source-date 2010-09-01 en
pubs.dimensions-id 19635404 en


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