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273 * ! Wed, 8/11/2021, 1:30 PM - 3:20 PM Virtual
Statistical Methods for Causal Inference and Personalized Medicine Based on Observational Data — Topic-Contributed Papers
ENAR, International Chinese Statistical Association, International Indian Statistical Association
Organizer(s): Maiying Kong, University of Louisville
Chair(s): Mark Meyer, Georgetown University
1:35 PM Estimation of Average Treatment Effects Among Multiple Treatment Groups by Using an Ensemble Approach
Maiying Kong, University of Louisville
1:55 PM A Multiple Robust Propensity Score Method for Longitudinal Analysis with Intermittent Missing Data
Ming Wang, Penn State Milton S Hershey Medical Center; Chixiang Chen, University of Pennsylvania; Biyi Shen, Penn State Milton S Hershey Medical Center; Rongling Wu, Penn State Milton S Hershey Medical Center; Aiyi Liu, National Institute of Child Health and Human Development
2:15 PM Personalized Treatment Selection Using Observational Data
Sudaraka Tholkage, University of Louisville; KB Kulasekara, University of Louisville; Maiying Kong, University of Louisville
2:35 PM Weighted ?^2 Test and F Test for Multiple Group Comparisons in Observational Studies
Xiaofang Yan, Medpace, Inc.; Qi Zheng, University of Louisville; Maiying Kong, University of Louisville
2:55 PM Optimal Personalized Treatment Selection with Multiple Outcomes
Susmita Datta, University of Florida
3:15 PM Floor Discussion