An Introduction to BOIN Design in Clinical Trials [Video]

Bayesian Optimal Interval (BOIN) design is revolutionising early-phase oncology trials by combining Bayesian statistics with simple decision rules to find the maximum tolerated dose faster and more safely. In this video, we'll break down how to choose your target toxicity rate, calculate helper boundaries, apply real-time escalation and de-escalation rules, and use isotonic regression to finalise the dose selection.

At Quanticate, our expert teams of biostatisticians, statisticians, and medical writers specialise in implementing BOIN designs that meet global regulatory expectations. From setting realistic toxicity targets and pre-computing decision tables to running operating-characteristic simulations and training site staff, we support you through protocol development, regulatory submission, and trial execution. Submit an RFI today.