Correlated measurement error--implications for nutritional epidemiology | Zendy

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Correlated measurement error--implications for nutritional epidemiology

Author(s) -

Day N

Publication year - 2004

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/dyh138

Subject(s) - statistics , nutritional epidemiology , bivariate analysis , observational error , confounding , mathematics , multivariate statistics , correlation , linear regression , regression analysis , econometrics , regression , errors in variables models , bayesian multivariate linear regression , observational study , medicine , epidemiology , geometry

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.

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