Robust Learning for Optimal Dynamic Treatment Regimes with Observational Data

arXiv:2404.00221v1 Announce Type: cross
Abstract: Many public policies and medical interventions involve dynamics in their treatment assignments, where treatments are sequentially assigned to the same individuals across multiple stages, and the effect of treatment at each stage is usually heterogeneous with respect to the history of prior treatments and associated characteristics. We study statistical learning of optimal dynamic treatment regimes (DTRs) that guide the optimal treatment assignment for each individual at each stage based on the individual's history. We propose …

abstract arxiv data dynamic dynamics econ.em history math.st medical multiple policies prior public robust stage stat.me stat.ml stat.th treatment type