Individualized treatment rules under stochastic treatment cost constraints.
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ABSTRACT: Estimation and evaluation of individualized treatment rules have been studied extensively, but real-world treatment resource constraints have received limited attention in existing methods. We investigate a setting in which treatment is intervened upon based on covariates to optimize the mean counterfactual outcome under treatment cost constraints when the treatment cost is random. In a particularly interesting special case, an instrumental variable corresponding to encouragement to treatment is intervened upon with constraints on the proportion receiving treatment. For such settings, we first develop a method to estimate optimal individualized treatment rules. We further construct an asymptotically efficient plug-in estimator of the corresponding average treatment effect relative to a giv
SUBMITTER: Qiu H
PROVIDER: S-EPMC10846854 | biostudies-literature | 2022 Jan
REPOSITORIES: biostudies-literature
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