New projection-based estimators for optimal joint testing and treatment regimes leverage the no-direct-effect-of-testing assumption to achieve lower asymptotic variance than standard opt-SNMM g-estimators while retaining double robustness.
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Efficient estimation of optimal regimes under a no direct effect assumption
New projection-based estimators for optimal joint testing and treatment regimes leverage the no-direct-effect-of-testing assumption to achieve lower asymptotic variance than standard opt-SNMM g-estimators while retaining double robustness.