Exposure measurement error in air pollution studies: the impact of shared, multiplicative measurement error on epidemiological health risk estimates
نویسندگان
چکیده
منابع مشابه
Impact 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 ...
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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...
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Misclassification of exposure is a well-recognized inherent limitation of epidemiologic studies of disease and the environment. For many agents of interest, exposures take place over time and in multiple locations; accurately estimating the relevant exposures for an individual participant in epidemiologic studies is often daunting, particularly within the limits set by feasibility, participant ...
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BACKGROUND Exposure measurement error in copollutant epidemiologic models has the potential to introduce bias in relative risk (RR) estimates. A simulation study was conducted using empirical data to quantify the impact of correlated measurement errors in time-series analyses of air pollution and health. METHODS ZIP-code level estimates of exposure for six pollutants (CO, NOx, EC, PM2.5, SO4,...
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Land-use regression (LUR) models are increasingly used to estimate air pollution exposure in epidemiologic studies. These models use air pollution measurements taken at a small set of locations and modeling based on geographical covariates for which data are available at all study participant locations. The process of LUR model development commonly includes a variable selection procedure. When ...
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ژورنال
عنوان ژورنال: Air Quality, Atmosphere & Health
سال: 2020
ISSN: 1873-9318,1873-9326
DOI: 10.1007/s11869-020-00826-6