Feb. 6, 2024, 5:11 a.m. | Jiachun Li Kaining Shi David Simchi-Levi

cs.CR updates on arXiv.org arxiv.org

Adaptive experiment is widely adopted to estimate conditional average treatment effect (CATE) in clinical trials and many other scenarios. While the primary goal in experiment is to maximize estimation accuracy, due to the imperative of social welfare, it's also crucial to provide treatment with superior outcomes to patients, which is measured by regret in contextual bandit framework. These two objectives often lead to contrast optimal allocation mechanism. Furthermore, privacy concerns arise in clinical scenarios containing sensitive data like patients health …

accuracy cs.cr cs.lg design effect goal maximize outcomes patients privacy privacy preserving social stat.me welfare

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