Derives non-overlap bounds for the ATE on bounded outcomes with width proportional to non-overlap size, plus a TMLE estimator and multiplier bootstrap for inference.
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ECO-ATE is a federated semiparametrically efficient estimator for the average treatment effect on a target population that incorporates summary statistics from source populations while allowing distributional shifts.
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Non-overlap Average Treatment Effect Bounds
Derives non-overlap bounds for the ATE on bounded outcomes with width proportional to non-overlap size, plus a TMLE estimator and multiplier bootstrap for inference.
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Efficient collaborative learning of the average treatment effect
ECO-ATE is a federated semiparametrically efficient estimator for the average treatment effect on a target population that incorporates summary statistics from source populations while allowing distributional shifts.