14505770

Source:http://linkedlifedata.com/resource/pubmed/id/14505770

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0006142, umls-concept:C0026336, umls-concept:C0220825, umls-concept:C0443131, umls-concept:C0596244, umls-concept:C0681842
pubmed:issue	9
pubmed:dateCreated	2003-9-24
pubmed:abstractText	We examined whether a breast cancer risk prediction model other than the Gail et al. model performs better at discriminating between women who will and who will not develop the disease.
pubmed:grant	http://linkedlifedata.com/resource/pubmed/grant/1 R03 CA80620-01, http://linkedlifedata.com/resource/pubmed/grant/1P01 CA87969-02
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/8801383
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Sep
pubmed:issn	0895-4356
pubmed:author	pubmed-author:ByrneCeliaC, pubmed-author:ColditzGrahamG, pubmed-author:LouieMary MMM, pubmed-author:RockhillBeverlyB, pubmed-author:RosnerBernardB
pubmed:issnType	Print
pubmed:volume	56
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	856-61
pubmed:dateRevised	2007-11-14
pubmed:meshHeading	pubmed-meshheading:14505770-Aged, pubmed-meshheading:14505770-Breast Neoplasms, pubmed-meshheading:14505770-Confidence Intervals, pubmed-meshheading:14505770-Female, pubmed-meshheading:14505770-Humans, pubmed-meshheading:14505770-Incidence, pubmed-meshheading:14505770-Logistic Models, pubmed-meshheading:14505770-Middle Aged, pubmed-meshheading:14505770-Predictive Value of Tests, pubmed-meshheading:14505770-Risk Assessment, pubmed-meshheading:14505770-Risk Factors
pubmed:year	2003
pubmed:articleTitle	Breast cancer risk prediction with a log-incidence model: evaluation of accuracy.
pubmed:affiliation	Department of Epidemiology, CB #7435, University of North Carolina, Chapel Hill, NC 27599-7435, USA. beverly_rockhill@unc.edu
pubmed:publicationType	Journal Article, Research Support, U.S. Gov't, P.H.S.