Introduces inverse post-matching probability weighting for randomization-based inference of average treatment effects under inexact matching in observational studies.
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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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Randomization-Based Inference for Average Treatment Effects in Inexactly Matched Observational Studies
Introduces inverse post-matching probability weighting for randomization-based inference of average treatment effects under inexact matching in observational studies.
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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.