The proposed program consists of three separate but interrelated training programs. Funding is requested to support 33 predoctoral trainees for each of 5 years (15 in BIOS, 10 in EPID and 8 in ENVR) and for 6 postdoctoral trainees, each to be supported for 3 years (with 3 starting in year #1 and 3 starting in year #3, evenly distributed across the 3 specialty areas). The goal of the BIOS training is to prepare biostatisticians to conduct state-of- the-art biostatistical research relevant to environmental health problems and to provide high level statistical consulting to other researchers in environmental health. The goal of the EPID training is to prepare epidemiologists to conduct investigations on the influence of environmental exposures on human health, with the capability of integrating approaches from molecular biology, biostatistics and environmental sciences. The ENVR goal is to train environmental scientists to conduct research on biological and statistical methods for assessing environmental exposures and their potential effects on human health. The three programs will be based in the Departments of Biostatistics, Epidemiology, and Environmental Sciences and Engineering, the three largest departments in the UNC School of Public Health. While the three individual training components will be separate and based in their individual departments, the three directors will coordinate their activities, and Dr. Kupper will provide overall administration and coordination. All three predoctoral programs include formal course work and research; in the BIOS program, statistical consulting experience is also included. Coursework for each of the three areas focuses on the primary discipline, but some training in the other areas is also required, in order to provide the trainee with a broad base of environmental health knowledge. The postdoctoral programs provide for course work, if appropriate for the trainee, and research experience. Attendance at on-going seminar series is expected of all trainees

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Institutional National Research Service Award (T32)
Project #
5T32ES007018-25
Application #
6350760
Study Section
Environmental Health Sciences Review Committee (EHS)
Program Officer
Shreffler, Carol K
Project Start
1977-07-01
Project End
2002-06-30
Budget Start
2001-07-01
Budget End
2002-06-30
Support Year
25
Fiscal Year
2001
Total Cost
$568,957
Indirect Cost
Name
University of North Carolina Chapel Hill
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
078861598
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599
Engeda, Joseph C; Holliday, Katelyn M; Hardy, Shakia T et al. (2018) Transitions from Ideal to Intermediate Cholesterol Levels may vary by Cholesterol Metric. Sci Rep 8:2782
McClure, Elizabeth; Feinstein, Lydia; Cordoba, Evette et al. (2018) The legacy of redlining in the effect of foreclosures on Detroit residents' self-rated health. Health Place :
Doherty, Brett T; Hoffman, Kate; Keil, Alexander P et al. (2018) Prenatal exposure to organophosphate esters and cognitive development in young children in the Pregnancy, Infection, and Nutrition Study. Environ Res 169:33-40
Niehoff, Nicole M; Nichols, Hazel B; Zhao, Shanshan et al. (2018) Adult physical activity and breast cancer risk in women with a family history of breast cancer. Cancer Epidemiol Biomarkers Prev :
Cronk, Ryan; Bartram, Jamie (2018) Environmental conditions in health care facilities in low- and middle-income countries: Coverage and inequalities. Int J Hyg Environ Health 221:409-422
Parada Jr, Humberto; Gammon, Marilie D; Chen, Jia et al. (2018) Urinary Phthalate Metabolite Concentrations and Breast Cancer Incidence and Survival following Breast Cancer: The Long Island Breast Cancer Study Project. Environ Health Perspect 126:047013
Urrutia, Eugene; Chen, Hao; Zhou, Zilu et al. (2018) Integrative pipeline for profiling DNA copy number and inferring tumor phylogeny. Bioinformatics 34:2126-2128
Keil, Alexander P; Daza, Eric J; Engel, Stephanie M et al. (2018) A Bayesian approach to the g-formula. Stat Methods Med Res 27:3183-3204
Keil, Alexander P; Richardson, David B (2018) Quantifying Cancer Risk from Radiation. Risk Anal 38:1474-1489
McClure, Elizabeth; Feinstein, Lydia; Ferrando-Martínez, Sara et al. (2018) The Great Recession and Immune Function. RSF 4:62-81

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