Develops distribution-shift-aware augmented estimators for external controls in RCTs by adapting trial-only influence functions through calibration equations and an adaptive shrinkage procedure that guarantees efficiency gains.
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Beyond Exchangeability: Distribution-Shift-Aware Integration of External Control Data in Randomized Trials
Develops distribution-shift-aware augmented estimators for external controls in RCTs by adapting trial-only influence functions through calibration equations and an adaptive shrinkage procedure that guarantees efficiency gains.