All Times EDT
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Activity Details
14 *
Mon, 8/3/2020,
10:00 AM -
11:50 AM
Virtual
Bayesian Analysis Methods for Contemporary Study Designs in Toxicological Risk Assessment — Invited Papers
Section on Risk Analysis , Section on Statistics and the Environment, Section on Bayesian Statistical Science
Organizer(s): Michael Pennell, Ohio State University
Chair(s): Michael Pennell, Ohio State University
10:05 AM
Toxicity Modeling and Risk Assessment Using Functional Data from Diverse Populations
Dong Wang, FDA National Center for Toxicological Research
10:30 AM
Bayesian Latent Loading Functional Regression for High-Throughput Bioassays
Matthew Wheeler, National Institute for Occupational Safety and Health ; Michael Pennell, Ohio State University
10:55 AM
An Exploration of the Effects of Multiple Exposures on Birth Outcomes: A Bayesian Regularized Mediation Analysis
Yu-Bo Wang, Clemson University ; Zhen Chen, NICHD/NIH; Cuilin Zhang, NICHD/NIH
11:20 AM
Structural Equation Models for Environmental Health Outcomes
Presentation
Federico Ferrari, Duke University
11:40 AM
Floor Discussion
16 * !
Mon, 8/3/2020,
10:00 AM -
11:50 AM
Virtual
How Statistics and Data Science Help to Quantify Resilience of Power Systems — Invited Papers
Section on Statistics in Defense and National Security , Section on Risk Analysis, Section on Statistical Learning and Data Science
Organizer(s): Asim Dey, Princeton University and University of Texas at Dallas; Yulia Gel, University of Texas at Dallas
Chair(s): Yuzhou Chen, Southern Methodist Univ, Statistical Science Dept
10:05 AM
Topology-Based Machine-Learning for Modeling Power-System Responses to Contingencies
Brian W Bush, NREL
10:30 AM
Geography and Network-of-Networks Properties
Stephen J Young, Pacific Northwest National Laboratory
10:55 AM
Topological and Geometric Methods for Resilience Analysis of Power Grid Networks
Asim Dey, Princeton University and University of Texas at Dallas ; Umar Islambekov, Bowling Green State University
11:20 AM
Floor Discussion
144 * !
Tue, 8/4/2020,
10:00 AM -
11:50 AM
Virtual
Advances in Climate Informatics — Invited Papers
Section on Statistics and the Environment , ASA Advisory Committee on Climate Change Policy, Section on Risk Analysis
Organizer(s): Brian Reich, North Carolina State University
Chair(s): Brian Reich, North Carolina State University
10:05 AM
Fast Computing for Hierarchical Spatial Models, with an Application to Ice Sheet Models
Ben Seiyon Lee, Penn State University
10:30 AM
Statistical Deep IDE Models for Spatio-Temporal Forecasting
Andrew Zammit-Mangion, University of Wollongong ; Christopher Wikle, University of Missouri
10:55 AM
Contained Chaos: Ensemble Consistency Testing for Climate Models
Dorit Hammerling, Colorado School of Mines ; Galen Vincent, Colorado School of Mines; Allison Baker, National Center for Atmospheric Research
11:20 AM
Parametric Models for Distributions When Extremes Are of Interest
Michael Stein, Rutgers University
11:45 AM
Floor Discussion
213
Tue, 8/4/2020,
10:00 AM -
2:00 PM
Virtual
Contributed Poster Presentations: Section on Risk Analysis — Contributed Poster Presentations
Section on Risk Analysis
1:
Inference for Joint Quantile and Expected Shortfall Regression.
Xiang Peng, The George Washington University ; Huixia Judy Wang, The George Washington University
3:
Individual Impact of Recurrent Competing Risks in a Joint Dynamic Model
Piaomu Liu, Bentley University, Dept. of Mathematical Sciences ; Edsel Peña, Dept. of Statistics, University of South Carolina
4:
Hierarchical Constrained Density Regression with Application to Genotoxicity Prediction
Michael Pennell, Ohio State University ; Matthew Wheeler, National Institute for Occupational Safety and Health
5:
Models and Inference for Spatial Extremes Based on Tree-Based Multivariate Pareto Distributions
Daniela Cisneros, KAUST ; Raphael Huser, King Abdullah University of Science and Technology (KAUST)
6:
Understanding Space Radiation Cancer Risk for Yesterday, Today, and Tomorrow
Lori Chappell
7:
Dynamic Prediction for Conditional Survival: Empirical Evaluations and Recommendations
Wei Fu, Johns Hopkins University ; Chen Hu, Johns Hopkins University
411 *
Wed, 8/5/2020,
1:00 PM -
2:50 PM
Virtual
Innovative Modeling of Risks in the SAMSI GDRR Program — Topic Contributed Papers
Section on Risk Analysis , International Indian Statistical Association, Section on Bayesian Statistical Science
Organizer(s): Sanjib Basu, University of Illinois At Chicago
Chair(s): Jian Zou, Worcester Polytechnic Institute
1:05 PM
Explaining Aggressive Provider Billing Behavior via Quantile Variable Selection Models
Presentation
Tahir Ekin, Texas State University ; Paul Damien, University of Texas Austin
1:25 PM
Risk-Based Management for Cervical Cancer Screening
Didem Egemen, National Cancer Institute - NIH ; Li Cheung, US National Cancer Institute; Mark Schiffman, National Cancer Institute - NIH
1:45 PM
Modeling Risks from Environmental Mixtures
Sanjib Basu, University of Illinois At Chicago ; Jiyeong Jang, University of Illinois at Chicago
2:05 PM
Effects of Risk Attitudes and Information Friction on Willingness to Pay for Precautionary Building Standards
Sebastain Awondo, University of Alabama ; Kevin Egan, University of Toledo; Lawrence Powell, University of Alabama
2:25 PM
Development of an Augmented Finite Weakest-Link Load-Sharing Model and Its Application to Explain the Physical Failure Process of a High-K Gate Dielectrics of a Semiconductor
David Han, The University of Texas at San Antonio
2:45 PM
Floor Discussion
493
Thu, 8/6/2020,
10:00 AM -
2:00 PM
Virtual
Section on Risk Analysis CPapers 1 — Contributed Papers
Section on Risk Analysis
Chair(s): Qian Li, Regeneron Pharmaceuticals - Tarrytown, N
Using Benefit-Risk Process to Evaluate Treatment Effect in the Presence of a Primary Endpoint and Secondary Measurements
Yuchen Yang, Johns Hopkins University ; Chen Hu, Johns Hopkins University; Mei-Cheng Wang, Johns Hopkins University
Bayesian Sample Size Determination in Aquatic Toxicity Testing When Historical Data Are Available
Jing Zhang, Miami University ; A. John Bailer, Miami University ; Yunzhi Kong , Miami University ; Zheng Zhu, Miami University ; Byran JAY Smucker, Miami University (Ohio)
Extending Models via Gradient Boosting: An Application to Mendelian Models
Presentation
Theodore Huang, Harvard T.H. Chan School of Public Health ; Gregory Idos, City of Hope; Christine Hong, City of Hope; Stephen Gruber, City of Hope; Giovanni Parmigiani, Harvard T.H. Chan School of Public Health; Danielle Braun, Harvard T.H. Chan School of Public Health
Spatial Hierarchical Modeling of Threshold Exceedances Using Rate Mixtures
Rishikesh Yadav, King Abdullah University of Science and Technology ; Raphael Huser, King Abdullah University of Science and Technology (KAUST); Thomas Opitz, BioSP, INRAE, Avignon
Joint Model of Multiple Longitudinal Biomarkers and an Interval-Censored Survival Outcome with Application to a Cervical Cancer Etiology
Siddharth Roy, NIH/UMBC ; Megan Clarke, National Cancer Institute; Anindya Roy, University of Marland Baltimore County; Ana Gradissimo, Albert Einstein College of Medicine; Robert Burk, Albert Einstein College of Medicine; Nicolas Wentzensen, National Cancer Institute; Paul S. Albert, National Cancer Institute; Danping Liu, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Evaluation of Predictive Model Performance of an Existing Model in the Presence of Missing Data
Pin Li, University of Michigan ; Jeremy Taylor, University of Michigan; Matthew Schipper, University of Michigan
546
Thu, 8/6/2020,
1:00 PM -
2:50 PM
Virtual
Foundational Issues in Machine Learning — Topic Contributed Papers
Section on Statistical Learning and Data Science , Uncertainty Quantification in Complex Systems Interest Group, Section on Risk Analysis, Section on Statistical Computing
Organizer(s): Bertrand Clarke, U. Nebraska-Lincoln
Chair(s): Tri Le, Mercer Univ - Atlanta
1:05 PM
Joint Robust Multiple Inference on Large-Scale Multivariate Regression
Wen Zhou, Colorado State University ; Wenxin Zhou, University of California, San Diego; Youngseok Song, Colorado State University
1:25 PM
BET on Independence
Kai Zhang, UNC Chapel Hill
1:45 PM
Sparse Logistic Classification Using Multi-Type Predictors
Arkaprava Roy, University of Florida ; Bertrand Clarke, U. Nebraska-Lincoln; Subhashis Ghosal, NCSU; Diego Jarquin, UNL
2:05 PM
Floor Discussion
584 * !
Thu, 8/6/2020,
3:00 PM -
4:50 PM
Virtual
Innovations and Breakthroughs in Oncology Dose Finding Designs for Time-to-Event Monitoring and Trial Acceleration in the New Age of Immunotherapy and Cell Therapy — Topic Contributed Papers
Section on Risk Analysis , Biopharmaceutical Section, Section on Bayesian Statistical Science, Biometrics Section
Organizer(s): Wei Zhong, Pfizer Inc
Chair(s): Christophe Le Corre, Pfizer Inc.
3:05 PM
TITE-BOIN-ET: Time-to-Event Bayesian Optimal Interval Design to Accelerate Dose-Finding Based on Both Efficacy and Toxicity Outcomes
Kentaro Takeda, Astellas Pharma Global Development, Inc.
3:25 PM
Probability-of-Decision Designs to Accelerate Dose-Finding Trials
Tianjian Zhou, University of Chicago ; Yuan Ji, University of Chicago
3:45 PM
Novel Bayesian Adaptive Designs and Their Software Implementation for Phase I Clinical Trials with Late-Onset Toxicity
Yanhong Zhou, MD Anderson Cancer Center ; J. Jack Lee, MD Anderson Cancer Center; Ying Yuan, The University of Texas MD Anderson Cancer Center
4:05 PM
The Direct Time-to-Event (DTITE) Designs: A Novel Type of Oncology Dose-Escalation Designs with Late-Onset Toxicities Monitoring
Wei Zhong, Pfizer Inc ; Qing Xie, The Ohio State University; Ling Wang, Pfizer Inc.; Roberto Bugarini, Pfizer Inc
4:25 PM
New Paradigm of Dose Finding Designs in Cell Therapy Development: Challenges and Solutions
Rachael Liu, Takeda Pharmaceuticals ; Jianchang Lin, Takeda Pharmaceuticals; Pin Li, University of Michigan; Yuan Ji, University of Chicago; Jing Xu, Blue Bird
4:45 PM
Floor Discussion
