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Stanford Graduate School of Business

Stanford Graduate School of Business

Leadership, growth and business development 2,810,000 subscribers

Robust Estimation of Treatment Heterogeneity

31.01.2022 6,896 views
Published: 31.01.2022 Category: Leadership, growth and business development Views: 6,896

Episode details

Episode description

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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