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Your Environment. Your Health.

Powering Research Through Innovative Methods for Mixtures in Epidemiology (PRIME) Program Meeting

April 29 – 30, 2019
NIEHS

people sitting at circular table, seen form above

Meeting Documents

Meeting Purpose

The Powering Research through Innovative Methods for Mixtures in Epidemiology (PRIME) program addresses the complex issues involved in studying chemical mixtures and their effects on human health. PRIME encourages team science for the development of innovative statistical approaches that may offer better solutions compared to traditional methodologies. The purpose of this first PRIME grantee meeting will be to bring together PRIME grantees and related experts of the scientific community to discuss work in progress and opportunities for collaboration and innovation.

PRIME Program Goals

  1. Enable creative statistical approaches that evaluate the combined effect of a mixture as well as the independent effects of exposures on health outcomes.
  2. Comparing existing and novel approaches to identify the strengths and weaknesses across methods for various exposure and disease contexts.
  3. Incorporate information on chemical toxicity to provide biological context for exposures.
  4. Integrate the timing of exposures such as critical windows of development when individuals may be more susceptible.
  5. Develop informatic tools/software for broad implementation of methods.
  6. Provide resources for the research community including publications, webinars, example datasets, and training.

Meeting Goals

  1. Learn about each of the six projects within PRIME applying various methodologies to the analysis of complex environmental mixtures.
  2. Engage in collaborative problem solving and information sharing across PRIME projects.
  3. Discuss opportunities for application and comparison of methodologies.
  4. Discuss the development of resources for the larger environmental health community.
Project Title Principal Investigator Institution
Structured Nonparametric Methods for Mixtures of Exposures Dunson, David Brian Duke University
Principal Component Pursuit to Assess Exposure to Environmental Mixtures in Epidemiologic Studies Kioumourtzoglou, Marianthi-Anna Columbia University Health Sciences
Bringing Modern Data Science Tools to Bear on Environmental Mixtures Miranda, Marie Lynn Rice University
Innovative Methodologic Advances for Mixtures Research in Epidemiology Turyk, Mary Ellen; Chen, Hua Yun University of Illinois at Chicago
Development and Testing of Response Surface Methods for Investigating the Epidemiology of Exposure to Mixtures Webster, Thomas F Boston University
Methods for Data Integration and Risk Assessment for Environmental Mixtures Gennings, Chris; Coull, Brent Andrew Icahn School of Medicine at Mount Sinai; Harvard T.H. Chan School of Public Health

Questions?

Toccara A. Chamberlain
Tel 984-287-4482
toccara.chamberlain@nih.gov
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