JSM2026
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Elizabeth Stuart

Johns Hopkins University, Bloomberg School of Public Health
6 appearances in the program

Sessions & presentations

Causal Inference vs. Causal AI
Invited Paper Session · Thu, Aug 6 , 10:30 AM
Chair
Understanding the Causal Effect of Key Interventions in Contemporary Society
Presentation: Lessons from studying reproductive health policy: The need for data, methods, and collaboration
Invited Paper Session · Wed, Aug 5 , 10:30 AM
Speaker
Understanding the Causal Effect of Key Interventions in Contemporary Society
Presentation: Lessons from studying reproductive health policy: The need for data, methods, and collaboration
Invited Paper Session · Wed, Aug 5 , 10:30 AM
Co-Author
Contributed Poster Presentations: Section on Statistics in Epidemiology
Presentation: 73: Sensitivity Analysis for Generalizing Causal Effects in ECHO: A Multi Study Setting 
Contributed Posters · Tue, Aug 4 , 2:00 PM
Co-Author
Expanding the Data Science Toolkit: Using a Mixed Methods Approach to Improve Causal Inference
Professional Development Course/CE · Mon, Aug 3 , 1:00 PM
Instructor
Statistical Design and Inference in the Era of Ubiquitous Data
Invited Panel Session · Sun, Aug 2 , 2:00 PM
Organizer
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