Asymptotic linearity and influence functions of M-estimators remain identical under rerandomization versus simple randomization, with non-Gaussian limits possible unless rerandomization variables are adjusted for, plus efficiency optimality for data-adaptive estimators under rerandomization and its
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Asymptotic inference with flexible covariate adjustment under rerandomization and stratified rerandomization
Asymptotic linearity and influence functions of M-estimators remain identical under rerandomization versus simple randomization, with non-Gaussian limits possible unless rerandomization variables are adjusted for, plus efficiency optimality for data-adaptive estimators under rerandomization and its