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Activity Details

290 Tue, 8/9/2022, 10:30 AM - 12:20 PM CC-Hall D
Contributed Poster Presentations: ENAR — Contributed Poster Presentations
ENAR
24: Bayesian Additive Regression Trees Model for Causal Inference with High-Dimensional Potential Confounders
Chanmin Kim, SungKyunKwan University; Mauricio Tec, University of Texas, Austin; Corwin Zigler, University of Texas at Austin
25: Sensitivity Analysis for Non-Ignorable Missing Data in Sequential Multiple Assignment Randomized Trials
Aparajita Sur, University of Minnesota; David Vock, University of Minnesota
26: Adaptive Learning of Relevant Questions from a Questionnaire via Best Subset Algorithms
Leyao Zhang, University of Michigan, Ann Arbor; Wen Wang , University of Michigan, Ann Arbor; Mengtong Hu, University of Michigan, Ann Arbor; Alan Baptist, University of Michigan, Ann Arbor; Peter Song, University of Michigan
27: A Parsimonious Approach to Transfer Learning with Uncertainty Quantification
Jimmy Hickey, North Carolina State University; Jonathan P Williams, North Carolina State University; Emily Charlotte Hector, North Carolina State University
28: IoSearch: A Tool for Searching Disease-Associated Interacting Omics
Deo Kumar Srivastava, St. Jude Children's Research Hospital; Sarmistha Research Das, St. Jude Children's Research Hospital
29: Power Calculation for Detecting Interaction Effect in Stepped-Wedge Cluster Randomized Trials
Deukwoo Kwon, Icahn School of Medicine at Mount Sinai; Chen Yang, Icahn School of Medicine at Mount Sinai; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai
30: The Impact of Time Interval Choice on Inference Using G-Methods
Adrienne O'Donnell, Boston University School of Public Health; Sara Lodi, Boston University School of Public Health
31: Bayesian Additive Regression Trees Model for Causal Inference with High-Dimensional Potential Confounders
Chanmin Kim, SungKyunKwan University; Mauricio Tec, University of Texas, Austin; Corwin Zigler, University of Texas at Austin