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Bayesian Optimal Interval (BOIN) Design for Phase I Clinical Trials Perform cohort expansion on 3+3 to match the sample size of BOIN Match the sample size of BOIN to that of 3+3 Enter Simulation Scenarios Add a Scenario Remove a Scenario Save Scenarios Number of Simulations: Set Seed: For each scenario, enter true toxicity rate of each dose level:
Bayesian Optimal Interval Design: A Simple and Well-Performing Design . . . Despite more than two decades of publications that offer more innovative model-based designs, the classical 3 + 3 design remains the most dominant phase I trial design in practice In this article, we introduce a new trial design, the Bayesian optimal interval (BOIN) design The BOIN design is easy …
Trial Design U-BOIN is a utility-based seamless Bayesian phase I II trial design to find the optimal biological dose (OBD) for targeted and immune therapies It allows physicians to incorporate the risk-benefit trade-off to more realistically reflect the clinical practice
An overview of the BOIN design and its current extensions for novel . . . 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
BOIN: Bayesian Optimal INterval (BOIN) Design for Single-Agent and Drug . . . Description The Bayesian optimal interval (BOIN) design is a novel phase I clinical trial design for finding the maximum tolerated dose (MTD) It can be used to design both single-agent and drug-combination trials The BOIN design is motivated by the top priority and concern of clinicians when testing a new
Software Download Kiosk gt; BOIN Design Desktop Program Bayesian Optimal Interval (BOIN) Design Desktop Program The BOIN Design Program provides a novel platform for designing various phase I clinical trials, including single-agent and drug-combination trials, as well as trials with late-onset toxicity