Abstract
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 adverse health effects of prenatal mercury exposure. Copyright © 2003 John Wiley & Sons, Ltd.
Original language | English |
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Pages (from-to) | 3089-3100 |
Number of pages | 12 |
Journal | Statistics in Medicine |
Volume | 22 |
Issue number | 19 |
Early online date | 8 Sept 2003 |
DOIs | |
Publication status | Published - Oct 2003 |
Keywords
- Bias
- Confounding
- Factor analysis
- Instrumental variables
- Measurement error
- Multiple regression