Robust Estimation of Treatment Heterogeneity
发布时间 2022-01-31 23:07:00 来源
摘要
Professor Stefan Wager discusses general principles for the design of robust, machine learning-based algorithms for treatment heterogeneity in observational studies, as well as the application of these principles to design more robust causal forests (as implemented in GRF).
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