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Identifying populations sensitive to environmental chemicals by simulating toxicokinetic variability.

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Bibliographic Details
Title: Identifying populations sensitive to environmental chemicals by simulating toxicokinetic variability.
Authors: Ring CL; Oak Ridge Institute for Science and Education, Oak Ridge, TN 37831, United States; National Center for Computational Toxicology, Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC 27711, United States., Pearce RG; Oak Ridge Institute for Science and Education, Oak Ridge, TN 37831, United States; National Center for Computational Toxicology, Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC 27711, United States., Setzer RW; National Center for Computational Toxicology, Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC 27711, United States., Wetmore BA; ScitoVation, LLC, Research Triangle Park, NC, United States; National Exposure Research Laboratory, Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC 27711, United States., Wambaugh JF; National Center for Computational Toxicology, Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC 27711, United States. Electronic address: Wambaugh.John@epa.gov.
Source: Environment international [Environ Int] 2017 Sep; Vol. 106, pp. 105-118. Date of Electronic Publication: 2017 Jun 16.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Country of Publication: Netherlands NLM ID: 7807270 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-6750 (Electronic) Linking ISSN: 01604120 NLM ISO Abbreviation: Environ Int Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-6750
DOI:10.1016/j.envint.2017.06.004