grant
Collaborative Research: New Bayesian Causal Methods for Personalized Decision-Making Under Unmeasured Confounding
Organization Johns Hopkins UniversityLocation BALTIMORE, United StatesPosted 1 Jun 2026Deadline 31 May 2029
NSFUS FederalResearch GrantScience FoundationMD
Description preview
Data-driven personalized decision-making has become increasingly important across many fields, such as health sciences where tailoring treatments to individual patients can improve effectiveness and reduce adverse effects. Achieving reliable personalized decisions requires understanding cause-and-effect relationships between actions and outcomes.…
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