JSM2023
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Invited Paper Session

When Data Integration Meets Causal Inference

Tue, Aug 8, 8:30 AM
Lu TangChairLing ZhouOrganizer
Health Policy Statistics Section

4 Presentations

Causal Inference with Improved Efficiency by Integrating External Summary Information in the Possible Presence of Heterogeneous Study Populations
8:35 AM - 9:00 AM
Peisong Han (University of Michigan)
Federated Transfer Learning for Heterogeneous Causal Effects in Underrepresented Populations
9:00 AM - 9:25 AM
Larry Han (Harvard T.H. Chan School of Public Health)
Co-authors: Yi Zhang (Harvard University), Rui Duan
Improved Inference for Heterogeneous Treatment Effects Using Real-World Data Subject to Hidden Confounding
9:25 AM - 9:50 AM
Siyi Liu (North Carolina State University)
Co-authors: Shu Yang (North Carolina State University, Department of Statistics)
Longitudinal Self-Learning of Individualized Treatment Rules in a Nutrient Supplementation Trial with Missing Data
9:50 AM - 10:15 AM
Yiwang Zhou (St. Jude Children's Research Hospital)
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