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CC = Baltimore Convention Center,    H = Hilton Baltimore
* = applied session       ! = JSM meeting theme

Activity Details

625 Thu, 8/3/2017, 8:30 AM - 10:20 AM CC-338
Environmental Epidemiology and Spatial Statistics — Contributed Papers
Section on Statistics in Epidemiology , Section on Statistics and the Environment
Chair(s): Charles Smith, North Carolina State Univ.
8:35 AM Bayesian Geostatistical Modeling for MRSA Incidence Estimates Yi Mu, Centers for Disease Control and Prevention
8:50 AM Meta-Analysis of Model Specifications Assessing Harmful Algal Blooms as a Risk Factor for Amyotrophic Lateral Sclerosis in Northern New England Beth Ziniti, Applied Geosolutions ; Ernst Linder, Department of Mathematics and Statistics, University of New Hampshire ; Nathan Torbick, Applied Geosolutions ; Angeline Andrew, Department of Neurology, Dartmouth Medical School ; Elijah W. Stommel, Department of Neurology, Dartmouth Medical School
9:05 AM Bayesian Hierarchical Models to Estimate Associations Between Air Pollution and Cause-Specific Morbidity in Multicity Epidemiologic Studies Jenna Krall, George Mason University ; Stefanie Ebelt Sarnat, Emory University
9:20 AM Bayesian Approach for Managing Microbial Risks from Wastewater Reuse for Irrigation Ram Kafle, Sam Houston State University
9:35 AM Maximum Likelihood-Based Regression with a Continuous Exposure Variable Assessed in Pools and Subject to Measurement and Processing Errors Dane Van Domelen, Rollins School of Public Health, Emory University ; Emily Mitchell, Agency for Healthcare Research and Quality ; Amita Manatunga, Emory University ; Robert H Lyles, Rollins School of Public Health, Emory University ; Enrique F Schisterman, Eunice Kennedy Shriver National Institute of Child Health and Human Development
9:50 AM Dynamic Spatial-Temporal Point Process Models via Conditioning Athanasios Micheas, Univ of Missouri- Columbia ; Justin Okenye, University of Missouri ; Christopher Wikle, University of Missouri
10:05 AM Practical Bayesian inference based on Nearest Neighbor Gaussian Processes (NNGP) model for massive spatial data Lu Zhang, UCLA ; Abhirup Datta, Johns Hopkins University ; Sudipto Banerjee, UCLA Fielding School of Public Health
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