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MEASUREMENT ERROR MODELS FOR ORDINAL EXPOSURE VARIABLES MEASURED WITH ERROR
Author(s) -
ROSNER BERNARD A.
Publication year - 1996
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/(sici)1097-0258(19960215)15:3<293::aid-sim166>3.0.co;2-e
Subject(s) - nutritional epidemiology , observational error , statistics , ordinal scale , errors in variables models , scale (ratio) , standard error , ordinal data , econometrics , nutrient , mathematics , computer science , medicine , epidemiology , biology , ecology , physics , quantum mechanics
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.