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.

National Institute of Environmental Health Sciences

Use this QR code to view the newest version of this document
Use this QR code to view the newest version of this document

Your Environment. Your Health.

Final Progress Reports: Harvard School of Public Health: Environmental Statistics Core

Superfund Research Program

Environmental Statistics Core

Project Leader: Louise M. Ryan (Commonwealth Scientific Industrial Research Organization (CSIRO))
Grant Number: P42ES005947
Funding Period: 2000 - 2006

Project-Specific Links

Connect with the Grant Recipients

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

Final Progress Reports

Year:   2005 

The Environmental Statistics Core provides statistical support for all projects supported by the Superfund grant at Harvard.  In addition to statistical design and analysis, Core faculty and staff provide advice on data management issues and statistical computing.  They also provide statistical training for graduate students working on projects.  Core faculty engaged in mission-related research, motivated by questions that arise from the various projects.

Mission-related research has focused on the development of residual-based diagnostics for linear regression models for correlated data, statistical models for the analysis of biomarker data, as well as statistical methods for missing data and structural equations modeling.  More recently, the Environmental Statistics Core has been exploring the use of penalized latent class models for handling high dimensional biomarker data.   A special emphasis is the development and application of statistical methods for spatio-temporal analysis.

Back
to Top