Rerandomization yields tight limiting processes with lower pointwise asymptotic variances for Kaplan-Meier and IPCW Kaplan-Meier survival estimators, while the variance of debiased ML estimators remains invariant due to Neyman orthogonality.
Rejective sampling, rerandomization, and regression adjustment in survey experiments,
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Asymptotic theory of rerandomization for survival analysis
Rerandomization yields tight limiting processes with lower pointwise asymptotic variances for Kaplan-Meier and IPCW Kaplan-Meier survival estimators, while the variance of debiased ML estimators remains invariant due to Neyman orthogonality.