Abstract

The purpose of the Mathematical and Statistical Analysis and Modeling Core is to provide an efficient organization for the quantitative support required by all projects in the Center. The range of support needed includes experimental design and data analysis, statistical modeling, mechanistic model formulation, stochastic modeling, and model solution. Specific applications include models of fluid flow and contaminant transport, remediation of contaminated environments, exposure assessment, and statistical and physiologically based pharmacokinetic modeling. The Core comprises a quantitative, interdisciplinary team with backgrounds in deterministic and statistical modeling, biostatistics, applied mathematics, and computer science. Collectively, this group will provide quantitative support through application of known methods and approaches. It will also provide leadership in method development for areas of investigation in the Center with particular need for innovative modeling approaches.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Hazardous Substances Basic Research Grants Program (NIEHS) (P42)
Project #
5P42ES005948-16
Application #
7599094
Study Section
Special Emphasis Panel (ZES1)
Project Start
Project End
Budget Start
2008-04-01
Budget End
2009-03-31
Support Year
16
Fiscal Year
2008
Total Cost
$287,371
Indirect Cost

  Institution

Name
University of North Carolina Chapel Hill
Department
Type
DUNS #
608195277
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599

  Publications

Balik-Meisner, Michele; Truong, Lisa; Scholl, Elizabeth H et al. (2018) Elucidating Gene-by-Environment Interactions Associated with Differential Susceptibility to Chemical Exposure. Environ Health Perspect 126:067010
To, Kimberly T; Fry, Rebecca C; Reif, David M (2018) Characterizing the effects of missing data and evaluating imputation methods for chemical prioritization applications using ToxPi. BioData Min 11:10
Dalaijamts, Chimeddulam; Cichocki, Joseph A; Luo, Yu-Syuan et al. (2018) Incorporation of the glutathione conjugation pathway in an updated physiologically-based pharmacokinetic model for perchloroethylene in mice. Toxicol Appl Pharmacol 352:142-152
Gray, Kathleen M (2018) From Content Knowledge to Community Change: A Review of Representations of Environmental Health Literacy. Int J Environ Res Public Health 15:
Li, Gen; Jima, Dereje; Wright, Fred A et al. (2018) HT-eQTL: integrative expression quantitative trait loci analysis in a large number of human tissues. BMC Bioinformatics 19:95
Adebambo, Oluwadamilare A; Shea, Damian; Fry, Rebecca C (2018) Cadmium disrupts signaling of the hypoxia-inducible (HIF) and transforming growth factor (TGF-?) pathways in placental JEG-3 trophoblast cells via reactive oxygen species. Toxicol Appl Pharmacol 342:108-115
Smeester, Lisa; Fry, Rebecca C (2018) Long-Term Health Effects and Underlying Biological Mechanisms of Developmental Exposure to Arsenic. Curr Environ Health Rep 5:134-144
Luo, Yu-Syuan; Furuya, Shinji; Chiu, Weihsueh et al. (2018) Characterization of inter-tissue and inter-strain variability of TCE glutathione conjugation metabolites DCVG, DCVC, and NAcDCVC in the mouse. J Toxicol Environ Health A 81:37-52
Singleton, David R; Lee, Janice; Dickey, Allison N et al. (2018) Polyphasic characterization of four soil-derived phenanthrene-degrading Acidovorax strains and proposal of Acidovorax carolinensis sp. nov. Syst Appl Microbiol 41:460-472
Luo, Yu-Syuan; Hsieh, Nan-Hung; Soldatow, Valerie Y et al. (2018) Comparative analysis of metabolism of trichloroethylene and tetrachloroethylene among mouse tissues and strains. Toxicology 409:33-43

Showing the most recent 10 out of 505 publications