Traditionally, environmental epidemiologic studies have focused on assessing risks related to a single pollutant at a time. This, however, does not reflect reality, since we are constantly exposed to multiple pollutants at once. Recently, there has been an increased interest in methods that allow researchers to assess exposures to many pollutants at a time. These methods are able to accommodate the high dimension of the exposure matrix, as well as the usually high correlation across exposures of interest.
This two-day intensive workshop will provide a rigorous introduction to multiple different techniques to analyze exposure to mixtures in environmental epidemiology. Led by a team of world experts in environmental epidemiology and environmental statistics, many of whom have developed their own methods to analyze exposure to mixtures, the workshop will integrate seminar lectures with hands-on computer lab sessions to put concepts into practice. Emphasis will be given to supervised and unsupervised methods. Since the choice of method depends on the research question at hand, the workshop will conclude with a panel discussion on when each method presented is appropriate for use and for which research questions.
- Brent Coull, Harvard School of Public Health
- Chris Gennings, Icahn School of Medicine at Mount Sinai
- Jeff Goldsmith, Mailman School of Public Health
- Marianthi-Anna Kioumourtzoglou, Mailman School of Public Health
Investigators at all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate.
There is a limited capacity for the Workshop, with a paid registration required through RegFox: https://columbia-workshops.regfox.com/mixtures-workshop
More information about registration deadlines, fees, and Workshop logistics can be found on our website at https://www.mailman.columbia.edu/Mixtures
The Environmental Mixtures Workshop Team