Consequences of exposure measurement error for confounder identification in environmental epidemiology

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Consequences of exposure measurement error for confounder identification in environmental epidemiology. / Budtz-Jørgensen, Esben; Keiding, Niels; Grandjean, Philippe; Weihe, Pal; White, Roberta F.

In: Statistics in Medicine, Vol. 22, No. 19, 2003, p. 3089-100.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Budtz-Jørgensen, E, Keiding, N, Grandjean, P, Weihe, P & White, RF 2003, 'Consequences of exposure measurement error for confounder identification in environmental epidemiology', Statistics in Medicine, vol. 22, no. 19, pp. 3089-100. https://doi.org/10.1002/sim.1541

APA

Budtz-Jørgensen, E., Keiding, N., Grandjean, P., Weihe, P., & White, R. F. (2003). Consequences of exposure measurement error for confounder identification in environmental epidemiology. Statistics in Medicine, 22(19), 3089-100. https://doi.org/10.1002/sim.1541

Vancouver

Budtz-Jørgensen E, Keiding N, Grandjean P, Weihe P, White RF. Consequences of exposure measurement error for confounder identification in environmental epidemiology. Statistics in Medicine. 2003;22(19):3089-100. https://doi.org/10.1002/sim.1541

Author

Budtz-Jørgensen, Esben ; Keiding, Niels ; Grandjean, Philippe ; Weihe, Pal ; White, Roberta F. / Consequences of exposure measurement error for confounder identification in environmental epidemiology. In: Statistics in Medicine. 2003 ; Vol. 22, No. 19. pp. 3089-100.

Bibtex

@article{d1442e0074c411dbbee902004c4f4f50,
title = "Consequences of exposure measurement error for confounder identification in environmental epidemiology",
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",
year = "2003",
doi = "10.1002/sim.1541",
language = "English",
volume = "22",
pages = "3089--100",
journal = "Statistics in Medicine",
issn = "0277-6715",
publisher = "JohnWiley & Sons Ltd",
number = "19",

}

RIS

TY - JOUR

T1 - Consequences of exposure measurement error for confounder identification in environmental epidemiology

AU - Budtz-Jørgensen, Esben

AU - Keiding, Niels

AU - Grandjean, Philippe

AU - Weihe, Pal

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

PY - 2003

Y1 - 2003

N2 - 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.

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.

U2 - 10.1002/sim.1541

DO - 10.1002/sim.1541

M3 - Journal article

C2 - 12973789

VL - 22

SP - 3089

EP - 3100

JO - Statistics in Medicine

JF - Statistics in Medicine

SN - 0277-6715

IS - 19

ER -

ID: 120539