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Preprint Aug 2026

Shape-Preserving Covariate Adjustment via Empirical Likelihood in Randomized Experiment

Covariate adjustment improves estimation efficiency in randomized experiments, but standard calibration and augmentation methods, when applied to distribution or survival functions, do not preserve monotonicity---a fundamental property of the estimand. We propose using empirical likelihood with covariate-balancing cons...

Z. Lou, Jun Shao, Yuhan Qian et al. · 0 citations

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