Bayesian Optimal Interval (BOIN) Design for Phase I Clinical Trials
网页2024年8月26日 · BOIN is a Bayesian optimal interval design for dose-finding studies in oncology. It allows users to input design parameters, simulate trial scenarios, and view decision tables and flow charts.
贝叶斯最优区间 (BOIN)设计（一） - 知乎专栏
网页boin设计是由袁鹰教授团队于2015年提出的一种新的基于贝叶斯理论的Ⅰ期临床试验设计方法，用于探索试验药物的最大耐受剂量（mtd）。 其在发表的文章中通过一系列模拟试验，验证了BOIN设计在探索MTD方面不仅具有与其他连续重评估方法同等良好的表现，还能 ...
I期剂量递增试验的贝叶斯最优区间（BOIN）设计-上海有临医药科 …
网页2024年1月30日 · BOIN设计是一种以寻找最大耐受剂量（MTD）为目标的I期临床试验剂量递增设计方法，可根据毒性概率ϕ和其他参数确定最优区间（λe和λd），并根据当前剂量组的毒性发生率决定下一批入组受试者的剂量水平。本文介绍了BOIN设计的思路、参数、特点和监管机构的态度，并提供了相关文献和软件的信息。
Bayesian Optimal Interval Design: A Simple and Well …
网页2016年9月1日 · 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 ….
【方案设计】剂量选择 | 大道至简的BOIN设计 - 知乎
网页本次结合各种机会了解到BOIN设计，简要的汇总BOIN设计的特点、方法（使用流程）以及相关应用案例、以及适用场景等内容。 BOIN（Bayesian Optimal Interval ）设计. 1. 设计特点. 聊起新兴设计（BOIN设计）的特点，还是需要先聊一下FIH试验中最常见\应用很广泛 …
An overview of the BOIN design and its current extensions for …
网页2022年6月13日 · 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 on safety and efficacy.
Time-to-Event Bayesian Optimal Interval Design to Accelerate …
网页2018年10月15日 · We propose the time-to-event Bayesian optimal interval (TITE-BOIN) design to accelerate phase I trials by allowing for real-time dose assignment decisions for new patients while some enrolled patients' toxicity data are still pending.
网页BOIN is a novel phase I clinical trial design for finding the maximum tolerated dose (MTD) of a new drug. It achieves simplicity and superior performance by minimizing the risk of subtherapeutic or overly toxic doses.
BOIN package - RDocumentation
网页BOIN is a Bayesian optimal interval design that balances simplicity and performance in finding the maximum tolerated dose (MTD) for single-agent or drug-combination trials. It is a simple algorithm-based method that reduces the risk of subtherapeutic or overly toxic doses.
网页Steps to use BOIN App to design a phase I trial. 1. Generate the design flow chart and decision table for dose escalation and de-escalation. a) Click “Trial Setting” tab (shown in Figure 1), and enter design parameters (e.g., the number of doses, target toxicity probability, cohort size, the number of cohorts, ......).
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