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by University of Washington School of Public Health
The symposium will address: 1. how causal inference can be leveraged to inform the design and enhance the analysis of observational and randomized studies, including combinations of both; 2. how causal inference has stimulated the integration of machine learning into statistical inference; 3. how causal inference provides clarity on assumptions that suffice to infer causality from different study designs and informs strategies for sensitivity analyses.
by Local Organising Committee and the International Advisory Committee