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Your Environment. Your Health.

NIEHS Statistical Approaches for Assessing Health Effects of Environmental Chemical Mixtures in Epidemiology Studies Workshop Poster List

July 13-14, 2015

  1. Combining Visualization Methods with Structural Equation Models for the Analysis Of Chemical Mixture Data, Sophia Banton, Emory University
  2. A Methodology for Building Bayesian Networks to Evaluate the Health Effects of Environmental Chemical Mixtures, Sarah Kreidler, Neptune and Company
  3. A Statistical Framework for Assessing Association Between Health Effects and Combined Exposures, Shuo Chen, University of Maryland, College Park
  4. Bayesian Kernel Machine Regression for Estimating the Health Effects of Multi-Pollutant Mixtures, Birgit Claus Henn, Boston University
  5. Cheminformatics Approaches to Analyze the Effects of Environmental Chemical Mixtures, Denis Fourches, North Carolina State University
  6. A Two Step Variable Selection Procedure Using Prioritization of Interactions Followed by LASSO, Jiang Gui, Dartmouth College
  7. Integrating Toxicology and Mechanistic Evidence Into Complex Mixtures Analysis Using a Flexible Bayesian Approach, Ghassan Hamra, Drexel University School of Public Health
  8. Two-Step Shrinkage-Based Regression Strategy for Assessing Health Effects of Chemical Mixtures in Environmental Epidemiology, Xindi Hu, Harvard University
  9. A Two Stage Approach to Analysis of Health Effects of Environmental Chemical Mixtures: Informed Sparse Principal Component Analysis Followed by Segmented Regression, Roman Jandarov, University of Cincinnati
  10. Direct Assessment of Public Health Impacts of Exposure Mixtures: A Bayesian G-Formula Approach, Alexander Keil, University of North Carolina, Chapel Hill
  11. Do Your Exposures Need Supervision?, Jenna Krall, Emory University
  12. Principal Component Analysis: An Application for Understanding Health Effects of Environmental Chemical Mixture Exposures, Cristina Murray-Krezan, University of New Mexico
  13. Interpretation Without Causation: A Data Analysis at the Intersection of Statistics and Epidemiology, Emily Mitchell, National Institute of Child Health and Human Development
  14. Examining Associations Between Multi Pollutant Exposure Profiles and Health Outcomes via Bayesian Profile Regression, John Molitor, Oregon State University
  15. Analysis of Simulated Data Sets using Conformal Predictions, Ulf Norinder, Swedish Toxicology Sciences Research Center (Swetox)
  16. Analysis of Chemical Mixture Simulated Data Using Regularized Regression Models, Sung Kyun Park, University of Michigan
  17. Building Models to Assess the Effects of Chemical Mixtures by Estimating Similar Modes of Action, Harrison Quick, Centers for Disease Control and Prevention
  18. Application of Principal Component Analysis and Stepwise Regression to Identify the Exposure Variables Associated with Health Outcome and to Determine Dose-Response Relationship, Sheikh Rahman, Northeastern University
  19. Identifying the Relative Importance of Multiple Correlated Exposures in Predicting a Continuous Outcome Using the Random Forest Ensemble Learning Method, Anne Starling, Colorado School of Public Health
  20. Improving Prediction Models by Adding Interaction Terms Using a Feasible Solution Algorithm, Arnold Stromberg, University of Kentucky
  21. Factor Mixture Models for Assessing Health Effects of Environmental Chemical Mixtures: An Application Using Simulated Data Sets, Heidi Sucharew, Cincinnati Children’s Hospital Medical Center
  22. Dimension Reduction for Chemical Exposure Risk Assessment, Jeffrey Switchenko, Emory University
  23. Set-based Interaction Tests for High-Dimensional Environmental Exposome Data, Sandra Taylor, University of California, Davis
  24. Analyzing Mixtures in Epidemiology Data by Smoothing in Exposure Space, Veronica Vieira, Boston University
  25. Variable Selection and Multivariate Adaptive Spline Assessments to Investigate Effects of Chemical Mixtures in a Prospective Cohort Study of Mother-Child Pairs, Katrina Waters, Pacific Northwest National Laboratory
  26. Bayesian Non-Parametric Regression for Multi-Pollutant Mixtures, Ran Wei, North Carolina State University
  27. Modeling Environmental Chemical Mixtures with Weighted Quantile Sum Regression, David Wheeler, Virginia Commonwealth University
  28. Assessing Health Associations with Environmental Chemical Mixtures using LASSO and its Generalizations, Changchun Xie, University of Cincinnati
  29. Assessing the Impact of Environmental Mixtures on Children’s Neurodevelopment, Rengyi (Emily) Xu, University of Pennsylvania, Perelman School of Medicine
  30. Analysis of the First Simulated Dataset using Nonlinear and Weighted Quantile Sum (WQS) Regression, Chris Gennings, Icahn School of Medicine at Mount Sinai
  31. Bayesian Methods for Assessing Health Effects of Chemical Mixtures, David Dunson, Duke University
  32. Assessing Health Effects of Environmental Chemical Mixtures Using Stepwise Multiple Linear Regression, James Nguyen, U.S. Environmental Protection Agency
  33. Traditional Epidemiological Approaches to Analyze Chemical Mixtures and Human Health, Joseph M. Braun, Brown University
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