Jingshen Wang - Colloquium Speaker

Assistant Professor of Biostatistics, School of Public Health, University of California, Berkeley
Thursday, April 20, 2023 - 3:15pm
Colloquium Title: 
Adaptive Experiments Toward Learning Treatment Effect Heterogeneity


Understanding treatment effect heterogeneity has become an increasingly popular task in various fields. For example, in e-commerce, understanding treatment effect heterogeneity helps decision-makers to design personalized advertising strategies to maximize profits. In biomedical studies, learning the impact of treatment on diverse patient subgroups provides insights for personalized care. While much of the existing work in this research area has focused on either analyzing observational data based on untestable causal assumptions or conducting post hoc analyses of existing randomized controlled trial data, little work has gone into designing randomized experiments specifically for uncovering treatment effect heterogeneity. In this work, we develop a unified adaptive experimental design framework towards better learning treatment effect heterogeneity by efficiently identifying subgroups with enhanced treatment effects from a frequentist viewpoint. The adaptive nature of our framework allows practitioners to sequentially allocate experimental efforts adapting to the accrued evidence during the experiment. The resulting design framework can not only complement A/B tests in e-commerce but also unify enrichment designs and response adaptive randomization designs in clinical settings. Our theoretical investigations illustrate the trade-offs between complete randomization and our adaptive experimental algorithms. We also investigate our design in simulation studies and synthetic e-commerce and biomedical data analyses.


Topic: Colloquium -- Department of Statistics and Actuarial Science -- University of Iowa
Time: Apr 20, 2023 03:15 PM Central Time (US and Canada)

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