An adaptive influence-function framework selects optimal external control subsets to minimize MSE of the ATE estimator in RCTs and adds outcome calibration for better data use.
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Improving Treatment Effect Estimation in Trials through Adaptive Borrowing of External Controls
An adaptive influence-function framework selects optimal external control subsets to minimize MSE of the ATE estimator in RCTs and adds outcome calibration for better data use.