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480 Wed, 8/10/2022, 2:00 PM - 3:50 PM CC-204A
Causal Inference and Optimal Decision-Making — Contributed Papers
Biometrics Section
Chair(s): Nicholas Illenberger, New York University
2:05 PM Causal Framework for Individualized Treatment Evaluation Using Multivariate Generalized Mixed Effect Models with Longitudinal Data
Yizhen Xu, Johns Hopkins University; Aki Nishimura, Johns Hopkins University; Jisoo Kim, Johns Hopkins University; Brian Garibaldi, Johns Hopkins University; Ami Shah, Johns Hopkins University; Scott Zeger, Johns Hopkins University
2:20 PM A Bayesian Causal Inference Approach in Observational Studies with Missingness in Covariates and Outcomes
Huaiyu Zang, Cincinnati Children's Hospital Medical Center; Hang Kim, University of Cincinnati; Bin Huang, Cincinnati Children's Hospital Medical Center; Rhonda Szczesniak, Cincinnati Children's Hospital Medical Center
2:35 PM One-Stage Dynamic Treatment Regimes in Longitudinal Studies with Covariate-Driven Observation Times
Janie EM Coulombe, McGill University; Erica EM Moodie, McGill University; Susan M Shortreed, Kaiser Permanente Washington Health Research Institute; Christel Renoux, Lady Davis Institute
2:50 PM Causal Treatment Effect Estimation for Outcomes Measured with Uncertainty
Jingru Zhang, University of Pennsylvania; Haochang Shou, University of Pennsylvania; Hongzhe Lee, University of Pennsylvania
3:05 PM Solutions for Surrogacy Validation with Longitudinal Outcomes for a Gene Therapy
Emily Roberts, University of Michigan; Michael Elliott, University of Michigan; Jeremy Taylor, University of Michigan
3:20 PM Variability in the Complier Average Causal Effect of E-Assist on a Binary Outcome by a Shared Random Effects Model
Xinxin Sun, Virginia Commonwealth University; Yongyun Shin, Virginia Commonwealth University
3:35 PM CODA: Calibrated Optimal Decision-Making with Multiple Data Sources and Limited Outcome
Hengrui Cai, North Carolina State University; Wenbin Lu, North Carolina State University; Rui Song, North Carolina State University