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ToxicR: A computational platform in R for computational toxicology and dose-response analyses.

Autor: Wheeler MW; Biostatistics and Computational Biology Branch Division of Intramural Research, National Institute of Environmental Health Sciences Durham, NC., Lim S; Miami University Department of Statistics Oxford, OH., House J; Biostatistics and Computational Biology Branch Division of Intramural Research, National Institute of Environmental Health Sciences Durham, NC., Shockley K; Biostatistics and Computational Biology Branch Division of Intramural Research, National Institute of Environmental Health Sciences Durham, NC., Bailer AJ; Miami University Department of Statistics Oxford, OH., Fostel J; Contractor, Division of the National Toxicology Program Durham, NC., Yang L; Contractor, Division of the National Toxicology Program Durham, NC., Talley D; Contractor, Division of the National Toxicology Program Durham, NC., Raghuraman A; Contractor, Division of the National Toxicology Program Durham, NC., Gift JS; US Environmental Protection Agency (B243-01), National Center for Environmental Assessment, Durham, NC., Davis JA; National Center for Environmental Assessment, US Environmental Protection Agency, Cincinnati, OH., Auerbach SS; Predictive Toxicology Branch, Division of the National Toxicology Program National Institute of Environmental Health Sciences Durham, NC., Motsinger-Reif AA; Biostatistics and Computational Biology Branch Division of Intramural Research, National Institute of Environmental Health Sciences Durham, NC.

Publikováno v: Computational toxicology (Amsterdam, Netherlands) [Comput Toxicol] 2023 Feb; Vol. 25. Date of Electronic Publication: 2022 Dec 27.

Bayesian hierarchical dose-response meta-analysis of epidemiological studies: Modeling and target population prediction methods.

Autor: Allen B; Independent Consultant, Chapel Hill, NC, USA., Shao K; Department of Environmental Health, Indiana University, Bloomington, IN, USA., Hobbie K; ICF, 9300 Lee Highway, Fairfax, VA 22031-1207, USA., Mendez W Jr; ICF, 9300 Lee Highway, Fairfax, VA 22031-1207, USA., Lee JS; Center for Public Health and Environmental Assessment, U.S. EPA, Research Triangle Park, NC, USA., Cote I; Center for Public Health and Environmental Assessment, U.S. EPA, Research Triangle Park, NC, USA., Druwe I; Center for Public Health and Environmental Assessment, U.S. EPA, Research Triangle Park, NC, USA., Gift JS; Center for Public Health and Environmental Assessment, U.S. EPA, Research Triangle Park, NC, USA., Davis JA; Center for Public Health and Environmental Assessment, U.S. EPA, Washington, DC, USA. Electronic address: davis.allen@epa.gov.

Publikováno v: Environment international [Environ Int] 2020 Dec; Vol. 145, pp. 106111. Date of Electronic Publication: 2020 Sep 21.

Model averaging methods for the evaluation of dose-response model uncertainty when assessing the suitability of studies for estimating risk.

Autor: Mendez W Jr; ICF, 9300 Lee Highway, Fairfax, VA 22031-1207, USA., Shao K; Department of Environmental and Occupational Health, Indiana University, Bloomington, IN, USA., Lee JS; CPHEA U.S. Environmental Protection Agency, Research Triangle Park, NC, USA., Cote I; CPHEA U.S. Environmental Protection Agency, Research Triangle Park, NC, USA., Druwe IL; CPHEA U.S. Environmental Protection Agency, Research Triangle Park, NC, USA., Davis A; CPHEA, U.S. Environmental Protection Agency, Cincinnati, OH, USA., Gift JS; CPHEA U.S. Environmental Protection Agency, Research Triangle Park, NC, USA.

Publikováno v: Environment international [Environ Int] 2020 Oct; Vol. 143, pp. 105857. Date of Electronic Publication: 2020 Jun 29.