Policy learning with missing treatment data; effects on average treatment effect and policy value estimation.
Read the original at arxiv.org→arXiv:2607.14346v1 Announce Type: new Abstract: Policy learning methods are increasingly used to inform treatment allocation under budget constraints. Most proposed methods assume complete treatment data, yet...
Original headline: "Learning Who to Treat When Treatment is Missing"