On Identification of Dynamic Treatment Regimes with Proxies of Hidden Confounders
arxiv(2024)
摘要
We consider identification of optimal dynamic treatment regimes in a setting
where time-varying treatments are confounded by hidden time-varying
confounders, but proxy variables of the unmeasured confounders are available.
We show that, with two independent proxy variables at each time point that are
sufficiently relevant for the hidden confounders, identification of the joint
distribution of counterfactuals is possible, thereby facilitating
identification of an optimal treatment regime.
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