Uncertainty due to low-dose extrapolation: Modified BMD methodology for epidemiological data

Whitney, M; Ryan, L

Uncertainty due to low-dose extrapolation: Modified BMD methodology for epidemiological data

Whitney, M Ryan, L

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Publication Type:: Journal Article
Citation:: Environmetrics, 2013, 24 (5), pp. 289 - 297
Issue Date:: 2013-08-01

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Field	Value	Language
dc.contributor.author	Whitney, M	en_US
dc.contributor.author	Ryan, L https://orcid.org/0000-0001-5957-2490	en_US
dc.date.issued	2013-08-01	en_US
dc.identifier.citation	Environmetrics, 2013, 24 (5), pp. 289 - 297	en_US
dc.identifier.issn	1180-4009	en_US
dc.identifier.uri	http://hdl.handle.net/10453/27093
dc.description.abstract	Traditional environmental risk assessment methodologies, including benchmark dose (BMD) estimation, were originally developed to be used with animal toxicology data. We discuss some problems that can occur when toxicology-based methods are applied to human cohort studies, and we propose a new method for BMD risk estimation adapted to epidemiological data. Instead of extrapolating to zero-dose levels to estimate risk in an unexposed population, our proposed alternative involves specifying a nonzero background exposure level instead. To account for uncertainty in that level, we can average modified BMDs over a distribution of exposure levels. We apply our modified BMD method to analyze data from a cohort study designed to assess the effects of prenatal polychlorinated biphenyl (PCB) exposure on cognitive ability in young children. © 2013 John Wiley & Sons, Ltd.	en_US
dc.relation.ispartof	Environmetrics	en_US
dc.relation.isbasedon	10.1002/env.2217	en_US
dc.subject.classification	Statistics & Probability	en_US
dc.title	Uncertainty due to low-dose extrapolation: Modified BMD methodology for epidemiological data	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	24	en_US
utslib.for	0104 Statistics	en_US
utslib.for	01 Mathematical Sciences	en_US
utslib.for	05 Environmental Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	closed_access
pubs.issue	5	en_US
pubs.publication-status	Published	en_US
pubs.volume	24	en_US

Abstract:

Traditional environmental risk assessment methodologies, including benchmark dose (BMD) estimation, were originally developed to be used with animal toxicology data. We discuss some problems that can occur when toxicology-based methods are applied to human cohort studies, and we propose a new method for BMD risk estimation adapted to epidemiological data. Instead of extrapolating to zero-dose levels to estimate risk in an unexposed population, our proposed alternative involves specifying a nonzero background exposure level instead. To account for uncertainty in that level, we can average modified BMDs over a distribution of exposure levels. We apply our modified BMD method to analyze data from a cohort study designed to assess the effects of prenatal polychlorinated biphenyl (PCB) exposure on cognitive ability in young children. © 2013 John Wiley & Sons, Ltd.

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http://hdl.handle.net/10453/27093