Consequences of exposure measurement error for confounder identification in environmental epidemiology

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 exp...

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Published in:Statistics in Medicine
Main Authors: Budtz-Jørgensen, Esben, Keiding, Niels, Grandjean, Philippe, Weihe, Pal, White, Roberta F
Format: Article in Journal/Newspaper
Language:English
Published: Wiley-Blackwell 2003
Subjects:
Faroe Islands
Online Access:http://nrs.harvard.edu/urn-3:HUL.InstRepos:34787261
https://doi.org/10.1002/sim.1541
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spelling ftharvardudash:oai:dash.harvard.edu:1/34787261 2023-05-15T16:10:39+02:00 Consequences of exposure measurement error for confounder identification in environmental epidemiology Budtz-Jørgensen, Esben Keiding, Niels Grandjean, Philippe Weihe, Pal White, Roberta F 2003 application/pdf http://nrs.harvard.edu/urn-3:HUL.InstRepos:34787261 https://doi.org/10.1002/sim.1541 en_US eng Wiley-Blackwell doi:10.1002/sim.1541 Statistics in Medicine Budtz-Jørgensen, Esben, Niels Keiding, Philippe Grandjean, Pal Weihe, and Roberta F. White. 2003. “Consequences of Exposure Measurement Error for Confounder Identification in Environmental Epidemiology.” Statistics in Medicine 22 (19) (September 8): 3089–3100. doi:10.1002/sim.1541. 0277-6715 http://nrs.harvard.edu/urn-3:HUL.InstRepos:34787261 Journal Article 2003 ftharvardudash https://doi.org/10.1002/sim.1541 2022-04-05T18:51:58Z 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. Accepted Manuscript Article in Journal/Newspaper Faroe Islands Harvard University: DASH - Digital Access to Scholarship at Harvard Faroe Islands Statistics in Medicine 22 19 3089 3100
institution Open Polar
collection Harvard University: DASH - Digital Access to Scholarship at Harvard
op_collection_id ftharvardudash
language English
description 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. Accepted Manuscript
format Article in Journal/Newspaper
author Budtz-Jørgensen, Esben
Keiding, Niels
Grandjean, Philippe
Weihe, Pal
White, Roberta F
spellingShingle Budtz-Jørgensen, Esben
Keiding, Niels
Grandjean, Philippe
Weihe, Pal
White, Roberta F
Consequences of exposure measurement error for confounder identification in environmental epidemiology
author_facet Budtz-Jørgensen, Esben
Keiding, Niels
Grandjean, Philippe
Weihe, Pal
White, Roberta F
author_sort Budtz-Jørgensen, Esben
title Consequences of exposure measurement error for confounder identification in environmental epidemiology
title_short Consequences of exposure measurement error for confounder identification in environmental epidemiology
title_full Consequences of exposure measurement error for confounder identification in environmental epidemiology
title_fullStr Consequences of exposure measurement error for confounder identification in environmental epidemiology
title_full_unstemmed Consequences of exposure measurement error for confounder identification in environmental epidemiology
title_sort consequences of exposure measurement error for confounder identification in environmental epidemiology
publisher Wiley-Blackwell
publishDate 2003
url http://nrs.harvard.edu/urn-3:HUL.InstRepos:34787261
https://doi.org/10.1002/sim.1541
geographic Faroe Islands
geographic_facet Faroe Islands
genre Faroe Islands
genre_facet Faroe Islands
op_relation doi:10.1002/sim.1541
Statistics in Medicine
Budtz-Jørgensen, Esben, Niels Keiding, Philippe Grandjean, Pal Weihe, and Roberta F. White. 2003. “Consequences of Exposure Measurement Error for Confounder Identification in Environmental Epidemiology.” Statistics in Medicine 22 (19) (September 8): 3089–3100. doi:10.1002/sim.1541.
0277-6715
http://nrs.harvard.edu/urn-3:HUL.InstRepos:34787261
op_doi https://doi.org/10.1002/sim.1541
container_title Statistics in Medicine
container_volume 22
container_issue 19
container_start_page 3089
op_container_end_page 3100
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