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Activity Details
458 *
Thu, 8/6/2020,
10:00 AM -
2:00 PM
Virtual
Models for Spatial and Environmental Data — Contributed Papers
Section on Statistics and the Environment
Chair(s): Adam Walder, Pennsylvania State Unversity
A Family of Partial-Linear Single-Index Models for Analyzing Complex Environmental Exposures with Continuous, Categorical, Time-to-Event, and Longitudinal Health Outcomes
Yuyan Wang, NYU Langone Medical Center ; Yinxiang Wu, NYU Langone Medical Center; Myeonggyun Lee, NYU Langone Medical Center; Peng Jin, New York University; Leonardo Trasande, NYU Langone Medical Center; Mengling Liu, NYU Langone Medical Center; Melanie Jacobson, NYU Langone Medical Center
Recovering Individual-Level Spatial Inference from Aggregated Binary Data
Nelson Walker, Kansas State University ; Trevor J Hefley, Kansas State University; Anne Ballmann, U.S. Geological Survey - National Wildlife Health Center; Robin Russell, U.S. Geological Survey - National Wildlife Health Center; Daniel Walsh, U.S. Geological Survey - National Wildlife Health Center
Spatial Analysis of Interval-Valued Symbolic Data
Austin Kane Workman, Baylor University ; Joon Jin Song, Baylor University
Quantile Regression for Exposure Data with Repeated Measures in the Presence of Non-Detects
I-Chen Chen, National Institute for Occupational Safety and Health ; Stephen J. Bertke, National Institute for Occupational Safety and Health; Brian D. Curwin, National Institute for Occupational Safety and Health
A Bayesian Hidden Semi-Markov Model with Covariate-Dependent State Duration Intensities
Shirley Rojas Salazar, University of Missouri ; Erin Schliep, University of Missouri; Christopher Wikle, University of Missouri
Multimodel Inference: Acknowledging Practical Limitations for Explanatory Research
Katharine Banner, Montana State University ; Megan Higgs, Critical Inference, LLC
Sparse Gaussian Process for Sensitivity Analysis on Spatial Data with Correlated Inputs
Oluwole Oyebamiji, Lancaster University
