| Distributional analyses for children's inhalation risk assessments. | |
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MedLine Citation:
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PMID: 18097947 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The discussion here is divided into three parts. First there is a generic introduction to variability and uncertainty and a discussion of some underappreciated features of these concepts that have nontrivial implications for structuring risk analyses. Next are some suggestions for a way forward to build a better quantitative understanding of relevant variability and uncertainty. The process involves building databases of putative analogous cases to represent the concerns that are now reflected in the various point-estimate "uncertainty factors" or "adjustment factors" in the formulas used to derive current reference doses and reference concentrations (RfDs and RfCs). The use of such databases is illustrated with some limited selections from our own databases where some preliminary comparisons between child and adult population variability in activity and respiratory response parameters are possible. A final section reflects on the current evolution of practice in estimating variability in risk assessments. |
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Authors:
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Dale Hattis |
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Publication Detail:
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Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Review |
Journal Detail:
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Title: Journal of toxicology and environmental health. Part A Volume: 71 ISSN: 1528-7394 ISO Abbreviation: J. Toxicol. Environ. Health Part A Publication Date: 2008 |
Date Detail:
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Created Date: 2007-12-21 Completed Date: 2008-01-10 Revised Date: 2008-02-28 |
Medline Journal Info:
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Nlm Unique ID: 100960995 Medline TA: J Toxicol Environ Health A Country: England |
Other Details:
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Languages: eng Pagination: 218-26 Citation Subset: IM |
Affiliation:
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George Perkins Marsh Institute, Clark University, Worcester, Massachusetts 01610,USA. dhattis@aol.com |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Adult Child, Preschool Databases, Factual* Dose-Response Relationship, Drug Female Humans Inhalation Exposure* Male Models, Statistical* Risk Assessment / methods* Uncertainty* |
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