Develops sharp variance estimator plus rank-preserving and constant-treatment-effect causal bootstraps for stratified randomized experiments, with second-order refinement proof for one bootstrap.
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Introduces inverse post-matching probability weighting for randomization-based inference of average treatment effects under inexact matching in observational studies.
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Sharp variance estimator and causal bootstrap in stratified randomized experiments
Develops sharp variance estimator plus rank-preserving and constant-treatment-effect causal bootstraps for stratified randomized experiments, with second-order refinement proof for one bootstrap.
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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.