Consequences of exposure measurement error for confounder identification in environmental epidemiology

Esben Budtz-Jørgensen; Niels Keiding; Philippe Grandjean; Pal Weihe; Roberta F. White

doi:10.1002/sim.1541

Consequences of exposure measurement error for confounder identification in environmental epidemiology

Esben Budtz-Jørgensen, Niels Keiding, Philippe Grandjean, Pal Weihe, Roberta F. White

45 Citations (Scopus)

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.

Original language	English
Journal	Statistics in Medicine
Volume	22
Issue number	19
Pages (from-to)	3089-100
Number of pages	11
ISSN	0277-6715
DOIs	https://doi.org/10.1002/sim.1541
Publication status	Published - 2003

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10.1002/sim.1541

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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.",

author = "Esben Budtz-J{\o}rgensen and Niels Keiding and Philippe Grandjean and Pal Weihe and White, {Roberta F.}",

note = "Keywords: Bias (Epidemiology); Confounding Factors (Epidemiology); Environmental Exposure; Epidemiologic Methods; Factor Analysis, Statistical; Female; Humans; Mercury; Pregnancy; Prenatal Exposure Delayed Effects; Regression Analysis; Risk Factors",

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AU - White, Roberta F.

N1 - Keywords: Bias (Epidemiology); Confounding Factors (Epidemiology); Environmental Exposure; Epidemiologic Methods; Factor Analysis, Statistical; Female; Humans; Mercury; Pregnancy; Prenatal Exposure Delayed Effects; Regression Analysis; Risk Factors

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AB - 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.

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Consequences of exposure measurement error for confounder identification in environmental epidemiology

Abstract

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