Fusing Individualized Treatment Rules Using Secondary Outcomes

arXiv:2402.08828v1 Announce Type: cross
Abstract: An individualized treatment rule (ITR) is a decision rule that recommends treatments for patients based on their individual feature variables. In many practices, the ideal ITR for the primary outcome is also expected to cause minimal harm to other secondary outcomes. Therefore, our objective is to learn an ITR that not only maximizes the value function for the primary outcome, but also approximates the optimal rule for the secondary outcomes as closely as possible. To …

abstract arxiv decision feature harm learn patients practices rules stat.ap stat.me stat.ml treatment type variables