The Environmental Statistics and Bioinformatics Core will provide cutting edge biostatistical and bioinformatics design and analysis support for all projects. Core faculty are drawn from the Dept. of Biostatistics's Environmental Statistics Program, the HSPH Program of Quantitative Genomics, the HSPH Bioinformatics Core, the Dept. of Epidemiology, and the Dept. of Environmental Health's Program in Environmental Epidemiology. Core faculty have a strong history of collaboration and methods development for applications in environmental health research and genetic epidemiology. Specific areas of expertise include nonparametric smoothing, Bayesian methods, spatial statistics, longitudinal data analysis, environmental risk assessment, statistical genetics, bioinformatics, genome-wide association studies, and genes and environment. Students and postdoctoral fellows in Biostatistics will also provide data analysis support as needed. In addition to handling and overseeing statistical design and analysis for all projects, the core will: ? Advise on data management and ensure that all projects adopt appropriate quality control/quality assurance for data collection, entry, storage and retrieval; ? Provide training in statistical methods and supervise doctoral students working on related research projects; ? Arrange for workshops, seminars and reading groups to ensure that all program faculty and researchers have access to state of the art statistical methods, programs and techniques related to bioinformatics; ? Conduct mission-related statistical research.
The Environmental Statistics and Bioinformatics Core is critical to rigorous study design and analysis of all the projects and ensures the success of the scientific discovery of the Harvard Superfund Center.
|Rosa-Parra, Jose A; Tamayo-Ortiz, Marcela; Lamadrid-Figueroa, Hector et al. (2018) Diurnal Cortisol Concentrations and Growth Indexes of 12- to 48-Month-Old Children From Mexico City. J Clin Endocrinol Metab 103:3386-3393|
|Lee, Jane J; Valeri, Linda; Kapur, Kush et al. (2018) Growth parameters at birth mediate the relationship between prenatal manganese exposure and cognitive test scores among a cohort of 2- to 3-year-old Bangladeshi children. Int J Epidemiol 47:1169-1179|
|Sun, Ryan; Carroll, Raymond J; Christiani, David C et al. (2018) Testing for gene-environment interaction under exposure misspecification. Biometrics 74:653-662|
|Sun, Ryan; Wang, Zhaoxi; Claus Henn, Birgit et al. (2018) Identification of novel loci associated with infant cognitive ability. Mol Psychiatry :|
|Woo, May K; Young, Elisabeth S; Mostofa, Md Golam et al. (2018) Lead in Air in Bangladesh: Exposure in a Rural Community with Elevated Blood Lead Concentrations among Young Children. Int J Environ Res Public Health 15:|
|von Stackelberg, Katherine; Li, Miling; Sunderland, Elsie (2017) Results of a national survey of high-frequency fish consumers in the United States. Environ Res 158:126-136|
|Valeri, Linda; Mazumdar, Maitreyi M; Bobb, Jennifer F et al. (2017) The Joint Effect of Prenatal Exposure to Metal Mixtures on Neurodevelopmental Outcomes at 20-40 Months of Age: Evidence from Rural Bangladesh. Environ Health Perspect 125:067015|
|Claus Henn, Birgit; Bellinger, David C; Hopkins, Marianne R et al. (2017) Maternal and Cord Blood Manganese Concentrations and Early Childhood Neurodevelopment among Residents near a Mining-Impacted Superfund Site. Environ Health Perspect 125:067020|
|Tamayo Y Ortiz, Marcela; Téllez-Rojo, Martha María; Trejo-Valdivia, Belem et al. (2017) Maternal stress modifies the effect of exposure to lead during pregnancy and 24-month old children's neurodevelopment. Environ Int 98:191-197|
|Lee, Jane J; Kapur, Kush; Rodrigues, Ema G et al. (2017) Anthropometric measures at birth and early childhood are associated with neurodevelopmental outcomes among Bangladeshi children aged 2-3years. Sci Total Environ 607-608:475-482|
Showing the most recent 10 out of 96 publications