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10597998
Source:
http://linkedlifedata.com/resource/pubmed/id/10597998
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48
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Statements in which the resource exists as a subject.
Predicate
Object
rdf:type
pubmed:Citation
lifeskim:mentions
umls-concept:C0014507
,
umls-concept:C0026336
,
umls-concept:C0035647
,
umls-concept:C0439828
,
umls-concept:C0549178
,
umls-concept:C1524063
,
umls-concept:C2698848
pubmed:issue
5
pubmed:dateCreated
2000-1-11
pubmed:abstractText
The traditional method of analysing continuous or ordinal risk factors by categorization or linear models may be improved.
pubmed:grant
http://linkedlifedata.com/resource/pubmed/grant/
pubmed:language
eng
pubmed:journal
http://linkedlifedata.com/resource/pubmed/journal/7802871
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
0300-5771
pubmed:author
pubmed-author:AmblerGG
,
pubmed-author:RoystonPP
,
pubmed-author:SauerbreyGG
pubmed:issnType
Print
pubmed:volume
28
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
964-74
pubmed:dateRevised
2009-9-29
pubmed:meshHeading
pubmed-meshheading:10597998-Coronary Disease
,
pubmed-meshheading:10597998-Cross-Sectional Studies
,
pubmed-meshheading:10597998-Epidemiologic Methods
,
pubmed-meshheading:10597998-Great Britain
,
pubmed-meshheading:10597998-Humans
,
pubmed-meshheading:10597998-Linear Models
,
pubmed-meshheading:10597998-Male
,
pubmed-meshheading:10597998-Models, Cardiovascular
,
pubmed-meshheading:10597998-Mortality
,
pubmed-meshheading:10597998-Neoplasms
,
pubmed-meshheading:10597998-Odds Ratio
,
pubmed-meshheading:10597998-Prospective Studies
,
pubmed-meshheading:10597998-Risk Assessment
,
pubmed-meshheading:10597998-Risk Factors
,
pubmed-meshheading:10597998-Sensitivity and Specificity
,
pubmed-meshheading:10597998-Stroke
pubmed:year
1999
pubmed:articleTitle
The use of fractional polynomials to model continuous risk variables in epidemiology.
pubmed:affiliation
Department of Medical Statistics & Evaluation, Imperial College School of Medicine, London, UK. proyston@ic.ac.uk
pubmed:publicationType
Journal Article
,
Research Support, Non-U.S. Gov't