Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
Activity Details
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625
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Thu, 8/3/2017,
8:30 AM -
10:20 AM
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CC-338
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Environmental Epidemiology and Spatial Statistics — Contributed Papers
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Section on Statistics in Epidemiology , Section on Statistics and the Environment
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Chair(s): Charles Smith, North Carolina State Univ.
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8:35 AM
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Bayesian Geostatistical Modeling for MRSA Incidence Estimates
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Yi Mu, Centers for Disease Control and Prevention
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8:50 AM
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Meta-Analysis of Model Specifications Assessing Harmful Algal Blooms as a Risk Factor for Amyotrophic Lateral Sclerosis in Northern New England
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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
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9:05 AM
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Bayesian Hierarchical Models to Estimate Associations Between Air Pollution and Cause-Specific Morbidity in Multicity Epidemiologic Studies
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Jenna Krall, George Mason University ; Stefanie Ebelt Sarnat, Emory University
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9:20 AM
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Bayesian Approach for Managing Microbial Risks from Wastewater Reuse for Irrigation
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Ram Kafle, Sam Houston State University
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9:35 AM
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Maximum Likelihood-Based Regression with a Continuous Exposure Variable Assessed in Pools and Subject to Measurement and Processing Errors
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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
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9:50 AM
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Dynamic Spatial-Temporal Point Process Models via Conditioning
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Athanasios Micheas, Univ of Missouri- Columbia ; Justin Okenye, University of Missouri ; Christopher Wikle, University of Missouri
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10:05 AM
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Practical Bayesian inference based on Nearest Neighbor Gaussian Processes (NNGP) model for massive spatial data
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Lu Zhang, UCLA ; Abhirup Datta, Johns Hopkins University ; Sudipto Banerjee, UCLA Fielding School of Public Health
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