Regression calibration method for correcting measurement-error bias in nutritional epidemiology
نویسندگان
چکیده
منابع مشابه
Regression calibration for classical exposure measurement error in environmental epidemiology studies using multiple local surrogate exposures.
Environmental epidemiologic studies are often hierarchical in nature if they estimate individuals' personal exposures using ambient metrics. Local samples are indirect surrogate measures of true local pollutant concentrations which estimate true personal exposures. These ambient metrics include classical-type nondifferential measurement error. The authors simulated subjects' true exposures and ...
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Department of Obstetrics & Gynaecology, University of British Columbia, Vancouver, Canada Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Purvis Hall, 1020 Avenue des Pins Ouest, Montreal QC, Canada H3A 1A2 Institute of Social and Preventive Medicine (IUMSP), University Hospital Centre and University of Lausanne, Lausanne, Switzerland Correspondence to: J ...
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Several methods have been suggested to estimate non-linear models with interaction terms in the presence of measurement error. Structural equation models eliminate measurement error bias, but require large samples. Ordinary least squares regression on summated scales, regression on factor scores and partial least squares are appropriate for small samples but do not correct measurement error bia...
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Environmental epidemiologic studies are often hierarchical in nature if they estimate individuals’ personal exposures using ambient metrics. Local samples are indirect surrogate measures of true local pollutant concentrations which estimate true personal exposures. These ambient metrics include classical-type nondifferential measurement error. The authors simulated subjects’ true exposures and ...
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ژورنال
عنوان ژورنال: The American Journal of Clinical Nutrition
سال: 1997
ISSN: 0002-9165,1938-3207
DOI: 10.1093/ajcn/65.4.1179s