This is a request for extension of the Training Program in Environmental Health Statistics at the Harvard School of Public Health. The Program prepares predoctoral students and postdoctoral fellows for research careers in the application of biostatistics to environmental health. The Program will be administered through the Department of Biostatistics, with active participation by faculty members from the Kresge Center for Environmental Health and the Department of Epidemiology, also located at the Harvard School of Public Health. Trainees will receive high-quality instruction in basic biostatistical models, such as probability, statistical inference, computing and data analysis. The Program will also provide training in specialized topics of particular relevance for environmental applications, such as longitudinal analysis, methods for the analysis of categorical data, missing data techniques, and statistical methods relevant to environmental exposure assessment, such as measurement error models. Training will also be provided through applied course work in environmental health and a regular seminar series called """"""""Statistics and the Environment"""""""", where faculty, students, and fellows present their own environmental health-related research. An important focus of training will be the opportunity to collaborate with faculty members on biostatistical research as it applies to environmental health. All trainees will participate in Harvard's program on scientific integrity in the conduct of research. Since its inception in 1982, this Training Program has emphasized strong links to the environmental sciences. In recent years, Program trainers have placed particular importance on the recruitment of students from underrepresented minority groups. The focus on interdisciplinary training at the Harvard School of Public Health, as well as its talented and diverse student body and faculty, makes it ideally suited for a Training Program in environmental statistics.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Institutional National Research Service Award (T32)
Project #
2T32ES007142-21
Application #
6594135
Study Section
Environmental Health Sciences Review Committee (EHS)
Program Officer
Shreffler, Carol K
Project Start
1983-07-01
Project End
2008-06-30
Budget Start
2003-07-01
Budget End
2004-06-30
Support Year
21
Fiscal Year
2003
Total Cost
$442,233
Indirect Cost
Name
Harvard University
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
149617367
City
Boston
State
MA
Country
United States
Zip Code
02115
Wu, Shaowei; Gennings, Chris; Wright, Rosalind J et al. (2018) Prenatal Stress, Methylation in Inflammation-Related Genes, and Adiposity Measures in Early Childhood: the Programming Research in Obesity, Growth Environment and Social Stress Cohort Study. Psychosom Med 80:34-41
Flom, Julie D; Chiu, Yueh-Hsiu Mathilda; Hsu, Hsiao-Hsien Leon et al. (2018) Maternal Lifetime Trauma and Birthweight: Effect Modification by In Utero Cortisol and Child Sex. J Pediatr 203:301-308
Sun, Ryan; Carroll, Raymond J; Christiani, David C et al. (2018) Testing for gene-environment interaction under exposure misspecification. Biometrics 74:653-662
Lee, Alison; Leon Hsu, Hsiao-Hsien; Mathilda Chiu, Yueh-Hsiu et al. (2018) Prenatal fine particulate exposure and early childhood asthma: Effect of maternal stress and fetal sex. J Allergy Clin Immunol 141:1880-1886
Antonelli, Joseph; Cefalu, Matthew; Palmer, Nathan et al. (2018) Doubly robust matching estimators for high dimensional confounding adjustment. Biometrics :
Wilson, Ander; Zigler, Corwin M; Patel, Chirag J et al. (2018) Model-averaged confounder adjustment for estimating multivariate exposure effects with linear regression. Biometrics 74:1034-1044
Bose, Sonali; Rosa, Maria José; Mathilda Chiu, Yueh-Hsiu et al. (2018) Prenatal nitrate air pollution exposure and reduced child lung function: Timing and fetal sex effects. Environ Res 167:591-597
Lee, Alison G; Le Grand, Blake; Hsu, Hsiao-Hsien Leon et al. (2018) Prenatal fine particulate exposure associated with reduced childhood lung function and nasal epithelia GSTP1 hypermethylation: Sex-specific effects. Respir Res 19:76
Zhong, Jia; Trevisi, Letizia; Urch, Bruce et al. (2017) B-vitamin Supplementation Mitigates Effects of Fine Particles on Cardiac Autonomic Dysfunction and Inflammation: A Pilot Human Intervention Trial. Sci Rep 7:45322
Sofer, Tamar; Schifano, Elizabeth D; Christiani, David C et al. (2017) Weighted pseudolikelihood for SNP set analysis with multiple secondary outcomes in case-control genetic association studies. Biometrics 73:1210-1220

Showing the most recent 10 out of 168 publications