The Environmental Mixtures Workshop is a two-day intensive training of seminars and hands-on analytical sessions to provide an overview of environmental mixtures concepts, techniques, and data analysis methods used in health studies.
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Summer 2020 dates: August 10-11, 2020; 9:00am-5:00pm
Traditionally, environmental health 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 health. Led by a team of world experts in environmental health, epidemiology and 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.
By the end of the workshop, participants will be familiar with the following topics:
- Principle Component Analysis (PCA)
- Factor Analysis (FA)
- Variable Selection (Lasso, elastic net)
- Bayesian Kernel (BKMR)
- Weighted Quantile Sum Regression (WQS)
- Emerging mixtures topics and novel extensions
Investigators at all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate.
There are three prerequisites to attend this workshop:
- Each participant must have an introductory background in statistics
- Each participant must be familiar with R.
- Each participant must bring a laptop with R downloaded and installed prior to the first day of the workshop. R is available for free download and installation on Mac, PC, and Linux devices.
Brent Coull, PhD, Harvard T.H. Chan School of Public Health, Harvard University.
Chris Gennings, PhD, Research Professor and Biostatistics Division Director, Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai. Dr. Gennings’ research program includes the development of Weighted Quantile Sum (WQS) regression, joint work with a dissertation student, a method that is robust to confounding concerns based on complex correlations among exposure to environmental mixtures. She is currently developing methods for nutritional and environmental exposures that estimate and evaluate regulatory guideline values for mixtures.
Jeff Goldsmith, PhD, Assistant Professor, Department of Biostatistics, Columbia University Mailman School of Public Health. Dr. Goldsmith's statistical research focuses on high-dimensional data, with particular emphasis on dimension reduction methods, and modeling health outcomes. In addition to environmental health, he works on physical activity quantification using accelerometers, and on motor control experiments involving kinematic data.
Marianthi-Anna Kioumourtzoglou, ScD, Assistant Professor, Department of Environmental Health Sciences, Columbia University Mailman School of Public Health. Dr. Kioumourtzoglou is an environmental engineer and environmental epidemiologist by training, with a research emphasis on air pollution exposures. Her research focuses on statistical issues related to environmental epidemiology, such as assessing exposure to environmental mixtures (chemical and non-chemical) in health studies, and quantifying and correcting exposure measurement error.
Training scholarships are available for the Environmental Mixtures Workshop.
The Mixtures Workshop will take place on the Columbia University Irving Medical Campus (CUIMC) in New York City, specifically at Columbia Mailman School of Public Health, 722 W. 168th Street, Allan Rosenfield Building 8th Floor Auditorium. Please note that the entrance to the building is on the 10th floor (training is located two floors below entrance).
General transportation and lodging information can be found in the Getting Around section. A PDF map of the Workshop location on the CUIMC campus will be shared with participants closer to training dates.
Fantastic opportunity to learn state of the art mixtures methodologies. - Postdoc at Dartmouth College, 2018
Great job! I learned a lot about the methods I will be using in my research. It was a perfect mix of theory and practical applications (R code). - Postdoc at Icahn School of Medicine at Mount Sinai, 2018
Interesting, informing and interactive. - Student at Northeastern University, 2018
It's a great primer/workshop that is accessible to all epidemiologist/statisticians working on related fields. I think it's supremely helpful for anyone trying to get started on this. - Postdoc at Columbia University, 2018
This was an excellent distillation of incredibly challenging concepts. The resources provided were fantastic. - Student attendee, 2018
Excellent overview of range of different methods to use when studying environmental mixtures. It was very helpful to use the R code during lab sections and get a taste of what running the code will be like. - Postdoc at University of California, San Francisco, 2018
Excellent workshop taught by experts in cutting-edge methods for parsing and analyzing the combined effects of mixtures of environmental pollutants on health outcomes. The methods are extensible for other applications, such as reducing the dimensionality of outcome data and/or for investigating other non-environmental exposures. All materials and code are provided. - Health scientist attendee, 2019
The quality of the teaching is incredible -- the lectures are worth it even if you have no intention of using these methods. The instructors are that good. The matched lecture-lab sequence is a great way to introduce and apply these topics, and makes them relevant to a broad audience. And, thank you for using a standard data set and lab example across all methods. That makes so much sense. - Postdoc at NIEHS, 2019
Excellent workshop ! I am just learning R, and did not feel debilitated at all. I greatly appreciated the html code where I could follow along and takes notes. Wonderful experience. Thank you! - Postdoc at the University of Toronto, 2019
Amazing workshop with instructors that were very knowledgeable and open about the techniques uses and limitations. Support staff was really helpful, and I learned a lot from this short training - thank you! - PhD student from Oregon State University, 2019
|Early-Bird Rate (through 6/15/20)||Regular Rate (6/16/20 - 7/31/20)||Columbia Discount*|
|Faculty/Academic Staff/Non-Profit Organizations||$1,350||$1,550||10% off|
*Columbia Discount: This discount is valid for any active student, postdoc, staff, or faculty at Columbia University. To accss the Columbia discount, email Columbia.Mixtures@gmail.com for instructions.
Registration Fee: This fee includes course material, breakfast, lunch, and refreshment breaks. Course material will be provided to all participants after the workshop. Lodging and transportation are not included.
Cancellations: Cancellation notices must be received via email at least 30 days prior to the workshop start date in order to receive a full refund, minus a $75 administrative fee. Cancellation notices received via email 14-29 days prior to the workshop will receive a 50% refund, minus a $75 administrative fee. Please email your cancellation notice to Columbia.Mixtures@gmail.com. Due to workshop capacity, we regret that we are unable to refund registration fees for cancellations after these dates.
If you are unable to attend the training, we encourage you to send a substitute within the same registration category. Please inform us of the substitute via email at least one week prior to the training to include them on attendee communications, updated registration forms, and materials. Should the substitute fall within a different registration category your credit card will be credited/charged respectively. Please email substitute inquiries to Columbia.Mixtures@gmail.com.
The 2018 Mixtures Workshop was hosted by Columbia University's Department of Environmental Health Sciences in the Mailman School of Public Health with additional support from the Society of Toxicology (SOT).