Develops covariate-adjusted estimators for treatment effects under interference that achieve asymptotic unbiasedness and a no-harm variance guarantee relative to the unadjusted estimator.
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Covariate Adjustment Cannot Hurt: Treatment Effect Estimation under Interference with Low-Order Outcome Interactions
Develops covariate-adjusted estimators for treatment effects under interference that achieve asymptotic unbiasedness and a no-harm variance guarantee relative to the unadjusted estimator.