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MEASUREMENT ERROR MODELS FOR ORDINAL EXPOSURE VARIABLES MEASURED WITH ERROR

โœ Scribed by BERNARD A. ROSNER

Publisher
John Wiley and Sons
Year
1996
Tongue
English
Weight
645 KB
Volume
15
Category
Article
ISSN
0277-6715

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โœฆ Synopsis

In dietary epidemiology, the key nutrient variables are often expressed in the quintile scale. The nutrients are often measured with error and it is of interest to consider estimates of relative risk for exposures in the quintile scale corrected for measurement error. In this paper, I propose a measurement error model that relates diet record (true) nutrient values to food frequency (noisy) nutrient values when expressed in the quintile scale. I estimate this measurement error model from validation study data and then apply it to obtain corrected estimates of breast cancer risk in relation to intake of fat and alcohol with use of data from the Nurses' Health Study.

Let i denote the diet record (DR) (true) exposure and j denote the food frequency (FFQ) (observed) exposure, where i, j = 1, . . . , 5 . If x is a (p x 1) vector of covariates measured without

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