Linked Life Data

15333617

Source:http://linkedlifedata.com/resource/pubmed/id/15333617

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2004-12-22
pubmed:abstractText
In nutritional epidemiology, it is common to fit models in which several dietary variables are included. However, with standard instruments for dietary assessment, not only are the intakes of many nutrients often highly correlated, but the errors in the estimation of the intake of different nutrients are also correlated. The effect of this error correlation on the results of observational studies has been little investigated. This paper describes the effect on multivariate regression coefficients of different levels of correlation, both between the variables themselves and between the errors of estimation of these variables.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0300-5771
pubmed:author
pubmed:issnType
Print
pubmed:volume
33
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1373-81
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
Correlated measurement error--implications for nutritional epidemiology.
pubmed:affiliation
Strangeways Research Laboratory, Institute of Public Health, University of Cambridge, Cambridge, CB1 8RN, UK. nick.day@srl.cam.ac.uk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't