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Causal Modeling of Policy Interventions From Sequences of Treatments and Outcomes
Our model enables the estimation of a treatment policy from observational sequences of treatments and outcomes, and it can predict the interventional and counterfactual progression of the outcome after an intervention on the treatment policy (in contrast with the causal effect of a single treatment).
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