Proceedings of the National Academy of Sciences· 2016Q1
Recursive partitioning for heterogeneous causal effects
- 1,550citations
- Q1SCImago
- 2016year
Short summary
A new 'honest' estimation method using recursive partitioning accurately identifies subpopulations with differing causal treatment effects, achieving 90% confidence interval coverage compared to 74-84% for non-honest methods in simulations.
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Statistics and ProbabilityMathematics