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heterogeneous treatment effects
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Stanford GSB Faculty Publications
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The Annals of Applied Statistics
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causal inference
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inference
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machine learning
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personalized medicine
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random forest
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treatment effect heterogeneity
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Aspirin
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Lepski's method
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advertising
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cardiovascular disease
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causal forests
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censored data
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central limit theorem
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consistency
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cross-validation
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data analysis
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decision making
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decision rules
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digital marketing
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drugs
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estimating individualized treatment
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field experiment
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importance weighting
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internet marketing
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minimax regret
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mixed integer program
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mixing time
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nudge theory
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observational data
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observational study
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policy learning
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policy targeting
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postharvest diseases
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postpartum hemorrhage
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potential outcomes
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propensity score
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randomized clinical-trials
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randomized controlled trial
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regression
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sequential ignorability
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structural-change
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student financial aid
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supervised machine learning
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survival analysis
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treatment effectiveness
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treatment rules
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tree
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