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Activity Details

165 Tue, 8/10/2021, 10:00 AM - 11:50 AM Virtual
SLDS CSpeed 2 — Contributed Speed
Section on Statistical Learning and Data Science
Chair(s): Peter W. MacDonald, University of Michigan
10:05 AM Causal Mediation Analysis Based on Partial Linear Models
Xizhen Cai, Williams College; Yeying Zhu, University of Waterloo; Yuan Huang, Yale University
10:10 AM Model Based, Imputed, and Assisted Approaches for Randomized Experiments
Tianyi Qu, University of Illinois at Urbana-Champaign; Xinran Li, University of Illinois
10:15 AM Adapting Random Forests for Use with Sample Survey Data
Kevin Fenton, Ipsos Public Affairs; Robert Petrin, Ipsos Public Affairs; Peter Szczesny, Ipsos Public Affairs
10:20 AM 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
10:25 AM 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
10:30 AM 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
10:35 AM Missing Value Imputation of Network Node Attributes
Simon Fontaine, University of Michigan; Ji Zhu, University of Michigan
10:40 AM 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
10:45 AM Factor Analysis of Data with Incomplete Records
Fan Dai, Michigan Technological University; Somak Dutta, Iowa State University; Ranjan Maitra, Iowa State University
10:50 AM Characterizing Smooth Trends and Irregular Spikes in Longitudinal Data
Huy Dang, Penn State University; Marzia Cremona, Universite Laval; Francesca Chiaromonte, Penn State University
11:00 AM 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
11:05 AM 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
11:10 AM Nonresponse Bias Study
Forest Krueger, U.S. Census Bureau; Dhanapati Khatiwoda, U.S. Census Bureau; Kyle Jeong, U.S. Census Bureau
11:15 AM Trustworthy and Powerful Online Marketplace Experimentation with Budget-Split Design
Min Liu, LinkedIn; Vangelis Dimopoulos, LinkedIn; Jialiang Mao, LinkedIn; Kang Kang, LinkedIn
11:20 AM 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
11:25 AM Identifying Invariant Factors Across Multiple Environments with Kullback-Leibler Regression
Jaime Roquero Gimenez, Stanford University; James Zou, Stanford University
11:30 AM 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
11:35 AM A semiparametric model for multivariate long-range dependent time series in the frequency domain
Alexander Greaves-Tunnell, University of Washington
11:40 AM 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
11:45 AM 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