TITE-gBOIN-ET: time-to-event generalized Bayesian optimal interval design to accelerate dose-finding accounting for ordinal graded efficacy and toxicity outcomes

DOI10.1002/BIMJ.202200265zbMATH Open1541.62322MaRDI QIDQ6572287

Masataka Taguri, Yusuke Yamaguchi, Kentaro Takeda, Satoshi Morita

Publication date: 15 July 2024

Published in: Biometrical Journal (Search for Journal in Brave)

zbMATH Keywords

model-assisted designBayesian adaptive dose-finding designphase I-II clinical trial designefficacy and toxicity gradelate-onset outcome

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• Dose-Finding Based on Efficacy-Toxicity Trade-Offs
• The Continual Reassessment Method for Multiple Toxicity Grades: A Bayesian Quasi‐Likelihood Approach
• Dose-Finding Based on Multiple Toxicities in a Soft Tissue Sarcoma Trial
• gBOIN‐ET: The generalized Bayesian optimal interval design for optimal dose‐finding accounting for ordinal graded efficacy and toxicity in early clinical trials
• A utility-based Bayesian optimal interval (U-BOIN) phase I/II design to identify the optimal biological dose for targeted and immune therapies
• TITE-BOIN12: a Bayesian phase I/II trial design to find the optimal biological dose with late-onset toxicity and efficacy

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