BOIN Suite: A Software Platform to Design and Implement Novel Early-Phase Clinical Trials. JCO Clinical Cancer Informatics, 5, 91-101. Cite the software: Zhou, Y., Liu, Y., Yuan, Y., & Lee, J.J., Zhou, H., Chen, N., & Kuo, Y.

Understanding the Context

(2026). Bayesian Optimal Interval (BOIN) Design for Phase I Clinical Trials (V3.0.17.0) [Computer software]. Bayesian Optimal Interval (BOIN) designs are a class of model-assisted dose-finding designs that can be used in oncology trials to determine the maximum tolerated dose (MTD) of a study drug based on safety or the optimal biological dose (OBD) based ... An overview of the BOIN design and its current extensions for novel ...

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Key Insights

Bayesian Optimal Interval Design (BOIN) is an agile, effective and reliable phase I clinical trial approach increasing in popularity. Liu S. and Yuan, Y. (2015). Bayesian Optimal Interval (BOIN) Designs for Phase I Clinical Trials, Journal of the Royal Statistical Society: Series C, 64, 507-523.

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Final Thoughts

The BOIN design is motivated by the top priority and concern of clinicians when testing a new drug, which is to effectively treat patients and minimize the chance of exposing them to subtherapeutic or overly toxic doses. Bayesian Optimal Interval (BOIN) design are growing in popularity due to their statistical robustness, practical applicability and simplicity. Learn more. BOIN: an R package for designing single-agent and drug-combination dose-finding trials using Bayesian optimal interval designs. Journal of Statistical Software, 94 (1), 1-32.