Impact of Exposure Measurement Error in Nutritional Epidemiology
نویسندگان
چکیده
منابع مشابه
Measurement error: effects and remedies in nutritional epidemiology.
Nutritional epidemiology is concerned to elucidate the relationship between intakes of specific foods and nutrients, and specified health outcomes. Usually the outcome of interest is the incidence of a disease. Typically epidemiological evidence for such a relationship exists at two levels: (1) the macro level, in which each data-point refers to an aggregation of subjects for example, a country...
متن کاملSeemingly unrelated measurement error models, with application to nutritional epidemiology.
Motivated by an important biomarker study in nutritional epidemiology, we consider the combination of the linear mixed measurement error model and the linear seemingly unrelated regression model, hence Seemingly Unrelated Measurement Error Models. In our context, we have data on protein intake and energy (caloric) intake from both a food frequency questionnaire (FFQ) and a biomarker, and wish t...
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Studies in air pollution epidemiology may suffer from some specific forms of confounding and exposure measurement error. This contribution discusses these, mostly in the framework of cohort studies. Evaluation of potential confounding is critical in studies of the health effects of air pollution. The association between long-term exposure to ambient air pollution and mortality has been investig...
متن کاملImpact of exposure measurement error in air pollution epidemiology: effect of error type in time-series studies
BACKGROUND Two distinctly different types of measurement error are Berkson and classical. Impacts of measurement error in epidemiologic studies of ambient air pollution are expected to depend on error type. We characterize measurement error due to instrument imprecision and spatial variability as multiplicative (i.e. additive on the log scale) and model it over a range of error types to assess ...
متن کاملSystematic review of statistical approaches to quantify, or correct for, measurement error in a continuous exposure in nutritional epidemiology
BACKGROUND Several statistical approaches have been proposed to assess and correct for exposure measurement error. We aimed to provide a critical overview of the most common approaches used in nutritional epidemiology. METHODS MEDLINE, EMBASE, BIOSIS and CINAHL were searched for reports published in English up to May 2016 in order to ascertain studies that described methods aimed to quantify ...
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ژورنال
عنوان ژورنال: JNCI: Journal of the National Cancer Institute
سال: 2008
ISSN: 0027-8874,1460-2105
DOI: 10.1093/jnci/djn408