Regression-adjusted distribution regression for distributional treatment effects under covariate-adaptive randomization is asymptotically normal and attains the semiparametric efficiency bound.
, K} for a positive integer K ∥a∥ √ a⊤a, Euclidean norm of a vector a = (a1,
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On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization
Regression-adjusted distribution regression for distributional treatment effects under covariate-adaptive randomization is asymptotically normal and attains the semiparametric efficiency bound.