12181209

Source:http://linkedlifedata.com/resource/pubmed/id/12181209

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0010068, umls-concept:C0026565, umls-concept:C0032659, umls-concept:C0205214, umls-concept:C0542341, umls-concept:C0681842, umls-concept:C0681890, umls-concept:C1880371
pubmed:issue	3
pubmed:dateCreated	2002-8-15
pubmed:abstractText	To examine the generalisability of multivariate risk functions from diverse populations in three contexts: ordering risk, magnitude of relative risks, and estimation of absolute risk.
pubmed:grant	http://linkedlifedata.com/resource/pubmed/grant/HL 61769
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pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9602087
pubmed:citationSubset	AIM
pubmed:status	MEDLINE
pubmed:month	Sep
pubmed:issn	1468-201X
pubmed:author	pubmed-author:Diverse Populations Collaborative Group
pubmed:issnType	Electronic
pubmed:volume	88
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	222-8
pubmed:dateRevised	2009-11-18
pubmed:meshHeading	pubmed-meshheading:12181209-Adult, pubmed-meshheading:12181209-Aged, pubmed-meshheading:12181209-Asia, pubmed-meshheading:12181209-Cause of Death, pubmed-meshheading:12181209-Cohort Studies, pubmed-meshheading:12181209-Coronary Disease, pubmed-meshheading:12181209-Europe, pubmed-meshheading:12181209-Female, pubmed-meshheading:12181209-Humans, pubmed-meshheading:12181209-Male, pubmed-meshheading:12181209-Middle Aged, pubmed-meshheading:12181209-Multivariate Analysis, pubmed-meshheading:12181209-Proportional Hazards Models, pubmed-meshheading:12181209-Prospective Studies, pubmed-meshheading:12181209-ROC Curve, pubmed-meshheading:12181209-Risk Assessment, pubmed-meshheading:12181209-Risk Factors, pubmed-meshheading:12181209-Survival Rate, pubmed-meshheading:12181209-United States, pubmed-meshheading:12181209-West Indies
pubmed:year	2002
pubmed:articleTitle	Prediction of mortality from coronary heart disease among diverse populations: is there a common predictive function?
pubmed:publicationType	Journal Article, Research Support, U.S. Gov't, P.H.S., Meta-Analysis