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 |
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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 |