A method estimates unsigned CATE from residual outcome covariances to assist randomization tests without sample splitting, establishing identification, consistency, and validity while showing higher power in simulations.
Toward better practice of covariate adjustment in analyzing randomized clinical trials
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Fit CATE Once: Model-Assisted Randomization Tests Without Sample Splitting
A method estimates unsigned CATE from residual outcome covariances to assist randomization tests without sample splitting, establishing identification, consistency, and validity while showing higher power in simulations.