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165
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Tue, 8/10/2021,
10:00 AM -
11:50 AM
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Virtual
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SLDS CSpeed 2 — Contributed Speed
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Section on Statistical Learning and Data Science
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Chair(s): Peter W. MacDonald, University of Michigan
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10:05 AM
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Causal Mediation Analysis Based on Partial Linear Models
Xizhen Cai, Williams College; Yeying Zhu, University of Waterloo; Yuan Huang, Yale University
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10:10 AM
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Model Based, Imputed, and Assisted Approaches for Randomized Experiments
Tianyi Qu, University of Illinois at Urbana-Champaign; Xinran Li, University of Illinois
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10:15 AM
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Adapting Random Forests for Use with Sample Survey Data
Kevin Fenton, Ipsos Public Affairs; Robert Petrin, Ipsos Public Affairs; Peter Szczesny, Ipsos Public Affairs
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10:20 AM
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Risk Estimation in the Normal Means Problem via Auxiliary Randomization
Natalia Lombardi de Oliveira, Carnegie Mellon University; Ryan Tibshirani, Carnegie Mellon University; Jing Lei, Carnegie Mellon University
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10:25 AM
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Two-Stage Procedure for Efficient and Robust Inference on Heterogeneous Treatment Effect in Randomized Clinical Trials
Heng Chen, Fred Hutchinson Cancer Research Center; Michael LeBlanc, Fred Hutchinson Cancer Research Center; James Dai, Fred Hutchinson Cancer Research Center
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10:30 AM
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Adapting the Difference-in-Difference Technique to Study Change in Opioid Overdoses During the COVID-19 Pandemic
Alexander Preiss, RTI International; Dalia Khoury, RTI International
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10:35 AM
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Missing Value Imputation of Network Node Attributes
Simon Fontaine, University of Michigan; Ji Zhu, University of Michigan
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10:40 AM
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Multi-Level Biosensor-Based Epidemic Forecasting in Small Areas
Salvador Balkus, University of Massachusetts Dartmouth; Hua Fang, University of Massachusetts Dartmouth; Honggang Wang, University of Massachusetts Dartmouth
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10:45 AM
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Factor Analysis of Data with Incomplete Records
Fan Dai, Michigan Technological University; Somak Dutta, Iowa State University; Ranjan Maitra, Iowa State University
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10:50 AM
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Characterizing Smooth Trends and Irregular Spikes in Longitudinal Data
Huy Dang, Penn State University; Marzia Cremona, Universite Laval; Francesca Chiaromonte, Penn State University
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11:00 AM
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Validity Check of Peer Assessment Schemes for Massive Open Online Courses
Fangda SONG, The Chinese University of Hong Kong; Wai Yin Isabella Poon, The Chinese University of Hong Kong; Xinyuan Song, The Chinese University of Hong Kong; Yingying Wei, The Chinese University of Hong Kong
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11:05 AM
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A Time-to-Event Framework for Multi-Touch Attribution
Dinah Shender, Google; Ali Nasiri Amini, Google; Xinlong Bao, Google; Mert Dikmen, Google; Amy Richardson, n/a; Jing Wang, Google
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11:10 AM
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Nonresponse Bias Study
Forest Krueger, U.S. Census Bureau; Dhanapati Khatiwoda, U.S. Census Bureau; Kyle Jeong, U.S. Census Bureau
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11:15 AM
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Trustworthy and Powerful Online Marketplace Experimentation with Budget-Split Design
Min Liu, LinkedIn; Vangelis Dimopoulos, LinkedIn; Jialiang Mao, LinkedIn; Kang Kang, LinkedIn
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11:20 AM
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A Tree-Based Federated Learning Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources
Xiaoqing Ellen Tan, University of Pittsburgh; Chung-Chou H. Chang, University of Pittsburgh; Lu Tang, University of Pittsburgh
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11:25 AM
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Identifying Invariant Factors Across Multiple Environments with Kullback-Leibler Regression
Jaime Roquero Gimenez, Stanford University; James Zou, Stanford University
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11:30 AM
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Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity
Jieru Hera Shi, University of Michigan, Ann Arbor; Zhenke Wu, University of Michigan, Ann Arbor; Walter Dempsey, University of Michigan
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11:35 AM
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A semiparametric model for multivariate long-range dependent time series in the frequency domain
Alexander Greaves-Tunnell, University of Washington
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11:40 AM
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Ensemble Learning for Ensuring Cross-Study Replicability of Boosting
Cathy Wang, Harvard T.H. Chan School of Public Health; Pragya Sur, Harvard University; Prasad Patil, Boston University School of Public Health; Giovanni Parmigiani, Harvard University
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11:45 AM
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Detecting Multiple Replicating Signals Using Adaptive Filtering Procedures
Lin Gui, The University of Chicago; Jingshu Wang, The University of Chicago; Weijie Su, University of Pennsylvania; Chiara Sabatti, Stanford University; Art Owen, Stanford University
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