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pubmed-article:15333617pubmed:dateCreated2004-12-22lld:pubmed
pubmed-article:15333617pubmed:abstractTextIn 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.lld:pubmed
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pubmed-article:15333617pubmed:pagination1373-81lld:pubmed
pubmed-article:15333617pubmed:dateRevised2006-11-15lld:pubmed
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pubmed-article:15333617pubmed:year2004lld:pubmed
pubmed-article:15333617pubmed:articleTitleCorrelated measurement error--implications for nutritional epidemiology.lld:pubmed
pubmed-article:15333617pubmed:affiliationStrangeways Research Laboratory, Institute of Public Health, University of Cambridge, Cambridge, CB1 8RN, UK. nick.day@srl.cam.ac.uklld:pubmed
pubmed-article:15333617pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:15333617pubmed:publicationTypeResearch Support, Non-U.S. Gov'tlld:pubmed
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