Statistical Methods

This page has a list of publications and news articles related to Innovative Strategies - Statistical Methods. Find more information on Innovation in HEI's research programs.

Internet-Based Health and Air Pollution Surveillance System

Communication 12

Scott L Zeger

Aidan McDermott

Francesca Dominici

Roger D. Peng

Jonathan Samet

2006

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HEI Communication 12 describes a project by Dr Scott Zeger and colleagues at the Johns Hopkins Bloomberg School of Public Health that was funded by HEI to make data and software from the National Morbidity, Mortality, and Air Pollution Study (NMMAPS) available to the wider research and policy communities. This Communication contains the Project Report, which describes the Internet-Based Health and Air Pollution Surveillance System (iHAPSS), along with Comments from some members of the HEI Health Research and Review Committees and other experts who had used the data.

Time-Series Analysis of Air Pollution and Mortality: A Statistical Review

Research Report 123

Francesca Dominici

2004

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This report describes a study funded under the Walter A. Rosenblith New Investigator Award. Dr Francesca Dominici and colleagues at Johns Hopkins University developed more flexible methods and statistical models for the National Morbidity, Mortality, and Air Pollution Study database.

Revised Analyses of Time-Series Studies of Air Pollution and Health

Special Report

Health Effects Institute

2003

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Over the past decade, time-series studies conducted in many cities have contributed information about the association between daily changes in concentrations of airborne particulate matter (PM) and daily morbidity and mortality. In 2002, however, investigators at Johns Hopkins University and at Health Canada identified issues in the statistical model used in the majority of time-series studies. This HEI Special Report details attempts to address several questions raised by these discoveries.