Skip Navigation
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Internet Explorer is no longer a supported browser.

This website may not display properly with Internet Explorer. For the best experience, please use a more recent browser such as the latest versions of Google Chrome, Microsoft Edge, and/or Mozilla Firefox. Thank you.

Your Environment. Your Health.

Harvard School of Public Health

Superfund Research Program

Environmental Statistics Core

Project Leader: Xihong Lin
Co-Investigator: Brent A. Coull
Grant Number: P42ES016454
Funding Period: 2010-2015
View this project in the NIH Research Portfolio Online Reporting Tools (RePORT)

Learn More About the Grantee

Visit the grantee's eNewsletter page Visit the grantee's Twitter page

Project Summary (2010-2014)

The Environmental Statistics and Bioinformatics Core provides cutting edge biostatistical and bioinformatics design and analysis support for all projects. Core faculty are drawn from the Department of Biostatistics's Environmental Statistics Program, the Harvard School of Public Health (HSPH) Program of Quantitative Genomics, the HSPH Bioinformatics Core, the Department of Epidemiology, and the Department 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 also provide data analysis support as needed. In addition to handling and overseeing statistical design and analysis for all projects, the core:

  • Advises on data management and ensures that all projects adopt appropriate quality control/quality assurance for data collection, entry, storage and retrieval;
  • Provides training in statistical methods and supervise doctoral students working on related research projects;
  • Arranges 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; and
  • Conducts mission-related statistical research.
Back
to Top