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294 Tue, 8/9/2022, 10:30 AM - 11:15 AM CC-Hall D
SPEED: Statistics in Social Sciences and Survey Research Part 2 — Contributed Poster Presentations
Business and Economic Statistics Section, Survey Research Methods Section, Quality and Productivity Section, ENAR, Government Statistics Section, Health Policy Statistics Section, Lifetime Data Science Section
Chair(s): Jiaxin Hu, University of Wisconsin-Madison
1: Dynamic Models for Corporate Competitiveness of Global Health Care Industry with Mixed Effects
Mingzhao Hu, University of California, Santa Barbara; Lingdi Zhao, Ocean University of China; Danlei Feng, Ocean University of China
2: A Mixed Model Approach for Dynamic Trade Networks
Burcu Eke Rubini, University of New Hampshire; Loris Rubini, University of New Hampshire
3: Using R Packages for Weekly Seasonal Adjustment
Brian Carl Monsell, Bureau of Labor Statistics
4: Privacy Secure Aggregation of the Individual Models into a Federated Model with Bayesian MCMC Bootstrapping
Eugene Yankovsky, EY; Ana Yankovsky, Inuitive Surgical
5: The Inequality Process as Statistical Mechanics: The IP's Gauge Symmetric Internal Model and the Search for Its Lagrangian
John Angle, The Inequality Process Institute
6: Adapting COVID-19 Early Release Data to Determine Impact of Opioid Use in Hospital Emergency Departments
Salah Shaikh, National Center for Health Statistics (NCHS) - CDC
7: Comparing Methods for Weighting to Extend Inferences from a Collection of Trials
Nicole Schnitzler, The Ohio State University; Eloise E Kaizar, The Ohio State University
8: Examining the Effects of Contamination Due to School Mobility on Efficacy of Stepped Wedge Designs
Meredith McCormack-Mager, The Ohio State University; Abigail Shoben, The Ohio State University
9: Better Multiple Testing: Using Multivariate Co-Data for Hypothesis Weighting
Daniel Fridljand, University of Heidelberg, Germany; Wolfgang Huber, European Molecular Biology Laboratory; Jan Johannes, University of Heidelberg, Germany
10: Using Effect Sizes to Quantify the Difference Between Survival Functions
Huan Wang, Division of Biometrics IX, OB/OTS/CDER, FDA
11: Model-Robust Experimentation Strategy for Estimation of Expensive Black-Box Functions with Mixed Quantitative and Qualitative Factors
Gautham Sunder, Carlson School of Management; Christopher Nachtsheim, Carlson School of Management
12: Specifying Prior Distributions in Reliability Applications
Colin Lewis-Beck, Eli Lilly; William Meeker, Iowa State; Qinglong Tian, University of Wisconsin ; Jarad Niemi, Iowa State
13: A Statistical Model Predicting Final Yield During Data Collection
Rui Jiao, WESTAT; Daniel Guzman, META; Sabrina Zhang, Westat; Andrea Piesse, WESTAT
14: An Empirical Evaluation of Probabilistic File Linking Techniques
Gauri Kamat, Brown University; Roee Gutman, Brown University
15: Extending MRP to Incorporate Variables with Unknown Distributions
Brittany Marie Alexander, Ipsos Public Affairs
16: Predicting Call Sequence Length in the Telephone Mode Using Prediction Algorithms
Xinyu Zhang, University of Michigan; James Wagner, University of Michigan
17: A Modified Proportional Allocation Sampling Method for the Study of Respirator Use and Practices in U.S. Private Industries
Danny Friel, U.S. Bureau of Labor Statistics; Michelle Myers, U.S. Bureau of Labor Statistics; Dee Zamora, U.S. Bureau of Labor Statistics; Xingyou Zhang, U.S. Bureau of Labor Statistics; Katherine N. Yoon, National Institute for Occupational Safety and Health; Megan Casey, National Institute for Occupational Safety and Health; Emily J. Haas, National Institute for Occupational Safety and Health
18: Synthetic Data Generation for Complex Surveys
Shirley Mathur, Duke University; Jerome P. Reiter, Duke University
19: Demographic Edit and Imputation for Multilevel Data from the FBI’s National Incident Based Reporting System
Philip Lee, RTI; Amang Sukasih, RTI; Dan Liao, RTI; Marcus Berzofsky, RTI International; Alexia Cooper, RTI
20: Results of a Push-to-Web Protocol in a Survey of Commercial Buildings
Katie Lewis, Energy Information Administration; Sarah Grady, Energy Information Administration; Lawrence Chrishelle, Energy Information Administration