Individualized treatment rules under stochastic treatment cost constraints.
J Causal Inference
; 10(1): 480-493, 2022 Jan.
Article
em En
| MEDLINE
| ID: mdl-38323299
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 given reference rule.
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Bases de dados:
MEDLINE
Tipo de estudo:
Health_economic_evaluation
Idioma:
En
Revista:
J Causal Inference
Ano de publicação:
2022
Tipo de documento:
Article