Consequences of exposure measurement error for confounder identification in environmental epidemiology
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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 journal › Journal article › Research › peer-review
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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