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dc.contributor.authorBudtz-Jørgensen, Esben
dc.contributor.authorKeiding, Niels
dc.contributor.authorGrandjean, Philippe
dc.contributor.authorWeihe, Pal
dc.contributor.authorWhite, Roberta F
dc.date.accessioned2018-02-06T20:31:13Z
dc.date.issued2003
dc.identifier.citationBudtz-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.en_US
dc.identifier.issn0277-6715en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:34787261
dc.description.abstractNon-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.en_US
dc.language.isoen_USen_US
dc.publisherWiley-Blackwellen_US
dc.relation.isversionofdoi:10.1002/sim.1541en_US
dash.licenseLAA
dc.titleConsequences of exposure measurement error for confounder identification in environmental epidemiologyen_US
dc.typeJournal Articleen_US
dc.description.versionAccepted Manuscripten_US
dc.relation.journalStatistics in Medicineen_US
dash.depositing.authorGrandjean, Philippe
dc.date.available2018-02-06T20:31:13Z
dc.identifier.doi10.1002/sim.1541*
dash.contributor.affiliatedWhite, Roberta
dash.contributor.affiliatedWeihe, Pal
dash.contributor.affiliatedGrandjean, Philippe
dc.identifier.orcid0000-0003-4046-9658


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