A new James-Stein estimator integrates coarsened external data to improve fine subgroup CATE estimation in RCTs and shows uniform dominance over internal-data-only OLS under mild conditions.
Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, Volume 1: Contributions to the Theory of Statistics , pages =
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Data Integration for Estimating Subgroup-Specific Conditional Average Treatment Effects (CATEs) Using Coarsened External Information in Randomized Trials
A new James-Stein estimator integrates coarsened external data to improve fine subgroup CATE estimation in RCTs and shows uniform dominance over internal-data-only OLS under mild conditions.