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
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-MartÃnez, Sara et al. (2018) The Great Recession and Immune Function. RSF 4:62-81 |
Martin, Chantel L; Haan, Mary N; Fernandez-Rhodes, Lindsay et al. (2018) Association Between Immigration History and Inflammatory Marker Profiles Among Older Adult Mexican Americans. Biodemography Soc Biol 64:30-42 |
Hoffman, Kate; Stapleton, Heather M; Lorenzo, Amelia et al. (2018) Prenatal exposure to organophosphates and associations with birthweight and gestational length. Environ Int 116:248-254 |
Richardson, David B; Keil, Alexander P; Cole, Stephen R et al. (2018) Asbestos standards: Impact of currently uncounted chrysotile asbestos fibers on lifetime lung cancer risk. Am J Ind Med 61:383-390 |
Rudolph, Jacqueline E; Cole, Stephen R; Edwards, Jessie K et al. (2018) At-Risk Alcohol Use Among HIV-Positive Patients and the Completion of Patient-Reported Outcomes. AIDS Behav 22:1313-1322 |
Rudolph, Jacqueline E; Cole, Stephen R; Edwards, Jessie K (2018) Parametric assumptions equate to hidden observations: comparing the efficiency of nonparametric and parametric models for estimating time to AIDS or death in a cohort of HIV-positive women. BMC Med Res Methodol 18:142 |
Strelitz, Jean; Engel, Lawrence S; Kwok, Richard K et al. (2018) Deepwater Horizon oil spill exposures and nonfatal myocardial infarction in the GuLF STUDY. Environ Health 17:69 |
Showing the most recent 10 out of 400 publications