Conference Program Home
My Program
All Times EDT
Legend:
CC = Walter E. Washington Convention Center M = Marriott Marquis Washington, DC
* = applied session ! = JSM meeting theme
Activity Details
23 * !
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Sun, 8/7/2022,
2:00 PM -
3:50 PM
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CC-204B
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Statistical Considerations for Epidemiologic Studies of Radiation Risk — Topic Contributed Papers
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Section on Statistics in Epidemiology, Committee on Applied Statisticians, Section on Statistical Computing
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Organizer(s): Ashley P Golden, Oak Ridge Associated Universities
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Chair(s): Isaf Al-Nabulsi, US Department of Energy
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2:05 PM
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Excess Relative Risk and Excess Absolute Rate Models in (Radiation) Dose-Response Modeling
Dale L. Preston, Hirosoft International, Eureka, CA; Daniel O. Stram, Keck School of Medicine, University of Southern California
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2:25 PM
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Incorporation of Dosimetric Uncertainty into Epidemiologic Calculations of Radiation Risk
Daniel O. Stram, Keck School of Medicine, University of Southern California; Dale L. Preston, Hirosoft International, Eureka, CA
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2:45 PM
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Statistical Analysis of Atomic Bomb Survivor Data: Challenges and Opportunities
Benjamin French, Vanderbilt University Medical Center
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3:05 PM
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Evaluation of Sources of Bias in Time-Dependent Radiation Dose Response Models for Individual Cohorts and Challenges Associated with Pooling in the Million Worker Study
Ashley P Golden, Oak Ridge Associated Universities; Sara Howard, Oak Ridge Institute for Science and Education; Benjamin French, Vanderbilt University Medical Center; Yeji Ko, Vanderbilt University
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3:25 PM
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Availability of Epidemiological Data for Statistical Research and Classroom Instruction from the Comprehensive Epidemiologic Data Resource and Radiation Effects Research Foundation
Sara Howard, Oak Ridge Institute for Science and Education
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3:45 PM
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Floor Discussion
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50 * !
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Sun, 8/7/2022,
4:00 PM -
5:50 PM
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CC-158AB
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Industry Applications for Environmental Statistics — Topic Contributed Papers
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Section on Statistics and the Environment, Section on Statistical Learning and Data Science, Committee on Applied Statisticians
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Organizer(s): Maria A Terres, Waymo
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Chair(s): Maria A Terres, Waymo
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4:05 PM
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Autonomously Driven Vehicles and the Weather Around Them
Jiabin Liu, Waymo
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4:25 PM
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Environmental Statistics in Computational Agriculture
David Clifford, X, the moonshot factory
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4:45 PM
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Data Science and Applied Statistics in Climate Risk Analysis
Alexis Hoffman, Jupiter Intelligence
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5:05 PM
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Using Physics-Informed Machine Learning to Generate Global Medium-Range Probabilistic Weather Forecasts
Steven Joel Brey, Tomorrow.io; Ashley Payne, Tomorrow.io; Stelios flampouris, Tomorrow.io
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5:25 PM
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Floor Discussion
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54 * !
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Sun, 8/7/2022,
4:00 PM -
5:50 PM
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CC-152A
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Recent Advances in Categorical Data Analytics — Topic Contributed Papers
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Biometrics Section, Biopharmaceutical Section, Committee on Applied Statisticians
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Organizer(s): Krishna K Saha, Central CT State University
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Chair(s): Krishna K Saha, Central CT State University
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4:05 PM
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Joint Analysis of Binary and Continuous Data via Joint Modeling of Jittered Binary and Continuous Outcomes: A New Approach
Mili Roy, University of Calgary; Alexander R. de Leon, University of Calgary; Tolulope Sajobi, University of Calgary; Rob Deardon, University of Calgary
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4:25 PM
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Bayesian Network Meta-Regression for Aggregate Ordinal Outcomes with Missing Categories
Yeongjin Gwon, University of Nebraska Medical Center; Ming-Hui Chen, University of Connecticut; May Mo, Amgen; Xun Jiang, Amgen; Amy Xia, Amgen; Joseph G Ibrahim, University of North Carolina
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4:45 PM
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Should We Use Discrete Variable to Estimate Semiparametric Functional Coefficient Fixed Effects Panel Data Model?
Shaymal Chandra Halder, University of Pennsylvania; Emir Malikov, University of Nevada at Las Vegas
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5:05 PM
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High-Dimensional Fixed Effects Profiling Models: New Developments and Applications
Danh Nguyen, University of California, Irvine; Jason Estes, Moutain View; Damla Senturk, University of California, Los Angeles; Esra Kurum, University of California, Riverside
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5:25 PM
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Analysis of the Relative Risk Associated with Clustering Binary Data
Gopal Nath, Murray State University; Krishna K Saha, Central CT State University; Suojin Wang, Texas A&M
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5:45 PM
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Floor Discussion
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96 * !
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Mon, 8/8/2022,
8:30 AM -
10:20 AM
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CC-102A
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Advances in the Measurement of Inputs, Output, and Productivity in the US Federal Statistical System — Topic Contributed Papers
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Quality and Productivity Section, Government Statistics Section, Committee on Applied Statisticians
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Organizer(s): Sun Ling Wang, USDA-Economic Research Service
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Chair(s): Spiro Stefanou, USDA-Economic Research Service
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8:35 AM
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Tracking Cultivated Assets in Measures of Capital
Presentation
Rachel Harris Soloveichik, Bureau
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8:55 AM
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Why Are Estimates of Hours Worked by the Self-Employed So Volatile?
Sabrina Wulff Pabilonia, U.S. Bureau of Labor Statistics; Cindy Cunningham, U.S. Bureau of Labor Statistics
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9:15 AM
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The Effects of Editing and Imputation on Measured Plant-Level and Aggregate Productivity Growth in a Panel of US Manufacturing Plants
Thomas Kirk White, U.S. Census Bureau; Hang Kim, University of Cincinnati; Martin Rotemberg, New York University
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9:35 AM
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TFP Accounting with Secondary Production
Jon Samuels, Bureau of Economic Analysis
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9:55 AM
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Inputs, Outputs, and Total Factor Productivity in the US Farm Sector: A New State-Level Analysis
Sun Ling Wang, USDA-Economic Research Service; Eldon Ball, University of Maryland; Richard Nehring, USDA-Economic Research Service
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10:15 AM
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Floor Discussion
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324 * !
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Tue, 8/9/2022,
2:00 PM -
3:50 PM
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CC-101
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Causal Inference and Machine Learning in Practice: Challenges Across Industry — Topic Contributed Papers
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Section on Statistical Consulting, Committee on Applied Statisticians, Section on Statistical Learning and Data Science
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Organizer(s): Qiaolin Chen, Tencent
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Chair(s): Fei Guo, Tencent
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2:05 PM
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CausalML: A Python Package for Uplift Modeling and Causal Inference Empowered by Machine Learning Methods
Zhenyu Zhao, Tencent; Totte Harinen, Toyota Research Institute
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2:25 PM
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Measuring the Incremental Value of Uber for Business Products - an Instrumental Variable Approach
Zehao Hu, Uber Technologies, Inc.; Marie-Camille Achard, Uber Technologies, Inc.; John Kingsley, Uber Technologies, Inc.; Erjie Ang, Uber Technologies, Inc.
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2:45 PM
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Empower Machine Learning Modeling and Development with Analytics
Pan Wu, Meta Platform, Inc.
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3:05 PM
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Producer-Side Experiments for Online Recommender System
Shan Ba, LinkedIn
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3:25 PM
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Discussant: Charles Wu, Tencent
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3:45 PM
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Floor Discussion
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363 *
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Wed, 8/10/2022,
8:30 AM -
10:20 AM
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CC-202A
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Should Science Abandon Statistical Significance? — Invited Papers
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Section on Statistical Consulting, Committee on Applied Statisticians, Section on Teaching of Statistics in the Health Sciences
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Organizer(s): Donald B. Macnaughton, MatStat Research Consulting, Inc
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Chair(s): Prince Afriyie, University of Virginia
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8:35 AM
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The Key Roles of Significance Tests, P-Values, and Statistical Methods in Scientific Research
Karen Kafadar, University of Virginia
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9:00 AM
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Multiplicity of Inferences in Medical Research Reporting: Has the Recent Scrutiny of the Problem Made a Difference?
Constantine Gatsonis, Brown University School of Public Health
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9:25 AM
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The Optimal Threshold P-Value for a Scientific Journal
Presentation
Donald B. Macnaughton, MatStat Research Consulting, Inc
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9:50 AM
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Discussant: Nicole A. Lazar, Pennsylvania State University
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10:15 AM
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Floor Discussion
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475 * !
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Wed, 8/10/2022,
2:00 PM -
3:50 PM
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CC-202B
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Advancing Innovative RWE Analytics in Drug Development — Topic Contributed Papers
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Biopharmaceutical Section, Section on Bayesian Statistical Science, Committee on Applied Statisticians, Text Analysis Interest Group
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Organizer(s): Haijun Ma, .
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Chair(s): Haijun Ma, .
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2:05 PM
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Defining Causal Questions for a Single-Arm Trial with an External Control Arm: An Application of the Target Trial Framework in Oncology
Lisa Hampson, Novartis Pharma AG, Switzerland; Evgeny Degtyarev, Novartis Pharma AG
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2:25 PM
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Causal Effect Machine Learning Analyses Using Model Averaging
Alan Brnabic, Eli Lilly; Anthony Zagar, Eli Lilly
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2:45 PM
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Applying Bayesian Modeling for Reproducibility Issues Between RCT and RWE
Xiang Zhang, CSL Behring; James Stamey, Baylor University
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3:05 PM
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Analysis of Biosimilar Regulatory Review and Approval Texts from the FDA and the EMA
Akash Jayesh Gosai, Viatris; Joseph Cook, Viatris
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3:25 PM
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Discussant: Samiran Ghosh, The University of Texas Health Science Center at Houston
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3:45 PM
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Floor Discussion
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532 * !
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Thu, 8/11/2022,
10:30 AM -
12:20 PM
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CC-102A
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Statistical Innovations Driven by the COVID-19 Pandemic — Invited Papers
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Committee on Applied Statisticians, Section on Statistical Learning and Data Science, Biopharmaceutical Section
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Organizer(s): Sameera Wijayawardana, Eli Lilly and Company
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Chair(s): Sameera Wijayawardana, Eli Lilly and Company
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10:35 AM
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Statistical Innovations Driven by the COVID-19 Pandemic
Juan Miguel Lavista Ferres, Microsoft
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11:00 AM
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Developing COVID-19 Treatments During the Pandemic: Unique Challenges, Opportunities for Innovation
Lei Shen, Eli Lilly and Company
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11:25 AM
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Excess Mortality Associated with COVID-19: January 2020 Through September 2021, United States
Lauren Rossen, National Center for Health Statistics, CDC
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11:50 AM
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Assessing Transmissibility and Associated Risk Modifiers of Emerging Infectious Diseases from Contact Tracing Data
Yang Yang, University of Florida; Mingjin Liu, University of Florida; Neda Jalali, University of Florida
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12:15 PM
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Floor Discussion
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