Consequences of exposure measurement error for confounder identification in environmental epidemiology
- 8 September 2003
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 22 (19) , 3089-3100
- https://doi.org/10.1002/sim.1541
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 the adverse health effects of prenatal mercury exposure. Copyright © 2003 John Wiley & Sons, Ltd.Keywords
Funding Information
- National Institute of Environmental Health Sciences (ES06112, ES09797)
- U.S. Environmental Protection Agency (9W-0262-NAEX)
- Danish Medical Research Council (22-00-0540)
- Danish Health Insurance Foundation (2000B084)
- European Commission
This publication has 7 references indexed in Scilit:
- Estimation of health effects of prenatal methylmercury exposure using structural equation modelsEnvironmental Health, 2002
- Methylmercury Exposure Biomarkers as Indicators of Neurotoxicity in Children Aged 7 YearsAmerican Journal of Epidemiology, 1999
- Cognitive Deficit in 7-Year-Old Children with Prenatal Exposure to MethylmercuryNeurotoxicology and Teratology, 1997
- Measurement Error in Nonlinear ModelsPublished by Springer Nature ,1995
- Impact of Maternal Seafood Diet on Fetal Exposure to Mercury, Selenium, and LeadArchives of environmental health, 1992
- The asymptotic relative efficiency of score tests in a generalized linear model with surrogate covariatesBiometrika, 1988
- Measurement Error ModelsPublished by Wiley ,1987