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.

Contents: HEI's Strategic Plan for 2015–2020 Now Under Way;  Greenbaum Chairs NRC Review of U.S. Climate, Health Assessment; O'Keefe Closes Out Successful Run on Key Air Advisory Committee; Communicating Results - HEI Science Highlighted at EPA Workshops HEI in the News - Wide Audience for ACES Findings; Novel Statistical Methods for Studying Pollutant Mixtures; Journal Spotlights NPACT Studies; Eyes on the Future - HEI Sponsors Meet with Research Committee to Discuss the Path Forward;  Walter A. Rosenblith New Investigator Award Announced

Research Report 175
James M Robins
Peng Zhang
Rajeev Ayyagari
Roger Logan
Eric Tchetgen Tchetgen
Lingling Li
Thomas Lumley
Aad van der Vaart
November 2013

This report describes semiparametric methods for epidemiologic investigations of the short-term effects of air pollution on health, intended specifically to improve the reliability of point estimates and confidence intervals. Dr. James Robins of the Harvard School of Public Health and colleagues developed the new methods, used simulations to compare them with other methods, and applied them to a large epidemiologic data set from the National Morbidity, Mortality, and Air Pollution Study (NMMAPS) to assess their effectiveness. The report is accompanied by a short editorial to assist the reader in understanding this study and its contributions to epidemiologic methods for air pollution.

Newsletter
Health Effects Institute
July 2013

Contents: Annual Conference Showcases HEI's Scientific Program; Did the Irish Coal Bans Improve Air Quality and Health? Novel Approaches to Analyzing Health Effects Data; Board Seeks New Review Committee Chair; HEI Moving to Improve the Way it Communicates; Expert Group Conducts Peer Review of ACES Pathology Results

Research Report 173
Murray V Johnston
Joseph P Klems
Christopher A Zordan
M Ross Pennington
James N Smith
February 2013

This report describes a study in which a nano aerosol mass spectrometer (NAMS) was used to study composition of nanoparticles in real time near a major roadway intersection. Dr. Murray V. Johnston of the University of Delaware, Newark, and colleagues conducted a field test in Wilmington, Delaware, to evaluate performance of the instrument in a real-world setting and to assess whether it could aid in identifying the major source contributions to nanoparticle spikes and background levels, including distinguishing diesel from gasoline vehicles.

Research Report 168
Richard D Morgenstern
Winston Harrington
Jhih-Shyang Shih
Michelle L Bell
November 2012

This report describes a study that analyzed the relationships between reductions in pollutants from power plants and fine particulate matter (PM2.5) concentrations in the eastern United States between 1999 and 2005. Dr. Richard D. Morgenstern of Resources for the Future and colleagues used a novel data-driven source-receptor model to explore the statistical relationships between source emissions of sulfur dioxide (SO2) and nitrogen oxides and monitored concentrations of PM2.5. They performed various external comparisons of their models, and compared the reductions to an estimated counterfactual scenario in which no mandated reductions in SO2 occurred.

Contents: Greenbaum Testifies on "Producing Credible Science for Decisions"; New HEI Health Effects Study of Modern Diesel Engine Emissions; Health Outcomes and Biomarkers Studies Approved; Multicity Study in Latin America; Air Pollution and Children's Health in Vietnam; HEI in the News; Communication 17: ACES Exposure Atmosphere; Annual Report Now Available; New Global Burden of Disease Estimates; HEI Investigator Wins Haagen-Smit Prize; Workshop on Assessing Exposure to Pollution from Traffic; IARC Review of Diesel and Gasoline Exhaust
Communication 12
Scott L Zeger
Aidan McDermott
Francesca Dominici
Roger D Peng
Jonathan Samet
October 2006

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.

Research Report 123
Francesca Dominici
December 2004

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.

Special Report
Health Effects Institute
May 2003

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.

Research Report 94-I
Jonathan M Samet
Francesca Dominici
Scott L Zeger
Joel Schwartz
Douglas W Dockery
June 2000

In an effort to address the uncertainties regarding the association between PM and daily mortality, and to determine the effects of other pollutants on this association, HEI funded the National Morbidity, Mortality, and Air Pollution Study (NMMAPS). Dr Jonathan Samet and his colleagues at Johns Hopkins University, in collaboration with investigators at Harvard University, conducted this time-series study in large cities across the US where levels of PM and gaseous pollutants were varied.