Consequences of exposure measurement error for confounder identification in environmental epidemiology
نویسندگان
چکیده
منابع مشابه
Environmental exposure measurement in cancer epidemiology.
Environmental exposures, used in the broadest sense of lifestyle, infections, radiation, natural and man-made chemicals and occupation, are a major cause of human cancer. However, the precise contribution of specific risk factors and their interaction, both with each other and with genotype, continues to be difficult to elucidate. This is partially due to limitations in accurately measuring exp...
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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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In some environmental epidemiology studies, the locations of exposure data and health assessments do not coincide. To overcome the misalignment problem, the health effects analysis often use the predictions from an exposure model, which contains some measurement error as predicted value but is unequal with the true exposures. Gryparis et al. (2009) focus on the framework for spatial measurement...
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BACKGROUND Common methods for confounder identification such as directed acyclic graphs (DAGs), hypothesis testing, or a 10 % change-in-estimate (CIE) criterion for estimated associations may not be applicable due to (a) insufficient knowledge to draw a DAG and (b) when adjustment for a true confounder produces less than 10 % change in observed estimate (e.g. in presence of measurement error). ...
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ژورنال
عنوان ژورنال: Statistics in Medicine
سال: 2003
ISSN: 0277-6715
DOI: 10.1002/sim.1541