Introduces inverse post-matching probability weighting for randomization-based inference of average treatment effects under inexact matching in observational studies.
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Adaptive combination of rank statistics enables finite-sample valid inference on distributions of individual treatment effects in randomized experiments.
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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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Randomization Tests for Distributions of Individual Treatment Effects via Combined Rank Statistics
Adaptive combination of rank statistics enables finite-sample valid inference on distributions of individual treatment effects in randomized experiments.