Backfill Bayesian Optimal Interval Design Using Efficacy and
Toxicity
Description
The backfill Bayesian optimal interval design using efficacy and toxicity outcomes for
dose optimization (BF-BOIN-ET) design is a novel clinical trial design to allow patients to be
backfilled at lower doses during a dose-finding trial while prioritizing the dose-escalation
cohort to explore a higher dose. The advantages compared to the other designs in terms of the
percentage of correct optimal dose (OD) selection, reducing the sample size, and shortening the
duration of the trial, in various realistic setting.