Consequences of exposure measurement error for confounder identification in environmental epidemiology
Non-differential measurement error in the exposure variable is known to attenuate the dose–response relationship. The amount of attenuation introduced in a given situation is not only a function of the precision of the exposure measurement but also depends on the conditional variance of the true exp...
Published in: | Statistics in Medicine |
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Main Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Wiley-Blackwell
2003
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Subjects: | |
Online Access: | http://nrs.harvard.edu/urn-3:HUL.InstRepos:34787261 https://doi.org/10.1002/sim.1541 |
Summary: | Non-differential measurement error in the exposure variable is known to attenuate the dose–response relationship. The amount of attenuation introduced in a given situation is not only a function of the precision of the exposure measurement but also depends on the conditional variance of the true exposure given the other independent variables. In addition, confounder effects may also be affected by the exposure measurement error. These difficulties in statistical model development are illustrated by examples from a epidemiological study performed in the Faroe Islands to investigate the adverse health effects of prenatal mercury exposure. Accepted Manuscript |
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