Identifying populations sensitive to environmental chemicals by simulating toxicokinetic variability.
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| Title: | Identifying populations sensitive to environmental chemicals by simulating toxicokinetic variability. |
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| 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 |
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