Seventh Seattle Symposium in Biostatistics

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.