A utility-based Bayesian optimal interval (U-BOIN) phase I/II design to identify the optimal biological dose for targeted and immune therapies
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Publication:6627253
DOI10.1002/SIM.8361zbMATH Open1546.62931MaRDI QIDQ6627253
Ying Yuan, Author name not available (Why is that?), Yanhong Zhou
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
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Related Items (7)
TITE-gBOIN-ET: time-to-event generalized Bayesian optimal interval design to accelerate dose-finding accounting for ordinal graded efficacy and toxicity outcomes ⋮ DROID: dose-ranging approach to optimizing dose in oncology drug development ⋮ REDOMA: Bayesian random-effects dose-optimization meta-analysis using spike-and-slab priors ⋮ uTPI: a utility-based toxicity probability interval design for phase I/II dose-finding trials ⋮ A Bayesian adaptive phase i/II platform trial design for pediatric immunotherapy trials ⋮ TITE-BOIN12: a Bayesian phase I/II trial design to find the optimal biological dose with late-onset toxicity and efficacy ⋮ Commentary on: ``Improving the performance of Bayesian logistic regression model with overdose control in oncology dose-finding studies
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