The Program's goal is to train pre-doctoral and postdoctoral biostatisticians in statistical theory and methods as applied to environmental health (EHS).
This aim i s addressed by an integrated collaboration between biostatisticians, environmental epidemiologists and toxicologists to provide: supervision by biostatisticians with extensive experience in the development of statistical methodology; interaction with researchers with extensive experience in human and animal studies; practical experience in the applications of statistical methodology to problems in toxicology by participating in consulting projects and attending colloquia; mentoring of trainees to assist in developing independent academic careers. Training: This Training Program is a collaboration between the Departments of Biostatistics and Computational Biology (DBCB), the Environmental Health Sciences Center and the Department of Public Health Sciences. The DBCB offers a Ph.D. degree in Statistics with an option in Biostatistics. The Department, created to foster biostatistical research and collaboration with researchers in the Medical Center, provides the administrative leadership and the critical link with the epidemiologists and toxicologists. Trainees will be matched with a biostatistician as primary preceptor and an environmental health scientist as a secondary cosponsor. The Environmental Health Sciences Biostatistics Training Grant Committee will review the progress of the trainees and the program. Trainees: Pre-doctoral trainees will have completed a baccalaureate degree with a major in mathematics, statistics, or a science major with a strong minor in mathematics or statistics. Selection is based on academic record, GRE scores, and recommendations. Pre-doctoral trainees must fulfill the standard requirements for the Ph.D. degree in statistics plus additional courses in biostatistics, epidemiology and toxicology. Three pre-doctoral awards will be granted, for up to four years. Postdoctoral trainees must have completed a Ph.D. in statistics, mathematics or a related discipline, or have basic science training with strong quantitative skills Each postdoctoral trainee will enroll in appropriate courses, attend seminars, and work with faculty mentors on biostatistics research and specific toxicology related projects. One postdoctoral traineeship will be supported in each year of the program.

Public Health Relevance

Many critical issues in environmental health research are quantitative in nature (for example assessment of dose-response relationships) and involve collection and analysis of empirical data subject to various sources of error and uncertainty. Statistical expertise is vitally needed for this task, yet the supply of statisticians interested i environmental health research has lagged the demand. The program aims to fill that gap.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Institutional National Research Service Award (T32)
Project #
5T32ES007271-24
Application #
9517048
Study Section
Environmental Health Sciences Review Committee (EHS)
Program Officer
Shreffler, Carol A
Project Start
1992-07-01
Project End
2020-06-30
Budget Start
2018-07-01
Budget End
2019-06-30
Support Year
24
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of Rochester
Department
Biostatistics & Other Math Sci
Type
School of Medicine & Dentistry
DUNS #
041294109
City
Rochester
State
NY
Country
United States
Zip Code
14627
Irwin, Jessica L; Yeates, Alison J; Mulhern, Maria S et al. (2018) Maternal Gestational Immune Response and Autism Spectrum Disorder Phenotypes at 7 Years of Age in the Seychelles Child Development Study. Mol Neurobiol :
McSorley, Emeir M; Yeates, Alison J; Mulhern, Maria S et al. (2018) Associations of maternal immune response with MeHg exposure at 28 weeks' gestation in the Seychelles Child Development Study. Am J Reprod Immunol 80:e13046
Selioutski, Olga; Grzesik, Katherine; Vasilyeva, Olga N et al. (2017) Evaluation of phenytoin serum levels following a loading dose in the acute hospital setting. Seizure 52:199-204
Barrett, Emily S; Sathyanarayana, Sheela; Mbowe, Omar et al. (2017) First-Trimester Urinary Bisphenol A Concentration in Relation to Anogenital Distance, an Androgen-Sensitive Measure of Reproductive Development, in Infant Girls. Environ Health Perspect 125:077008
Chowdhry, Amit K; Dworkin, Robert H; McDermott, Michael P (2016) Meta-analysis with missing study-level sample variance data. Stat Med 35:3021-32
Wang, Meng; Utell, Mark J; Schneider, Alexandra et al. (2016) Does total antioxidant capacity modify adverse cardiac responses associated with ambient ultrafine, accumulation mode, and fine particles in patients undergoing cardiac rehabilitation? Environ Res 149:15-22
Thurston, S W; Mendiola, J; Bellamy, A R et al. (2016) Phthalate exposure and semen quality in fertile US men. Andrology 4:632-8
Yeates, Alison J; Love, Tanzy M; Engström, Karin et al. (2015) Genetic variation in FADS genes is associated with maternal long-chain PUFA status but not with cognitive development of infants in a high fish-eating observational study. Prostaglandins Leukot Essent Fatty Acids 102-103:13-20
Evans, Katie; Love, Tanzy; Thurston, Sally W (2015) Outlier Identification in Model-Based Cluster Analysis. J Classif 32:63-84
Frampton, Mark W; Pietropaoli, Anthony; Dentler, Michael et al. (2015) Cardiovascular effects of ozone in healthy subjects with and without deletion of glutathione-S-transferase M1. Inhal Toxicol 27:113-9

Showing the most recent 10 out of 52 publications