Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA.
Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Pharm Stat. 2020 Mar;19(2):137-144. doi: 10.1002/pst.1974. Epub 2019 Nov 6.
This paper studies the notion of coherence in interval-based dose-finding methods. An incoherent decision is either (a) a recommendation to escalate the dose following an observed dose-limiting toxicity or (b) a recommendation to deescalate the dose following a non-dose-limiting toxicity. In a simulated example, we illustrate that the Bayesian optimal interval method and the Keyboard method are not coherent. We generated dose-limiting toxicity outcomes under an assumed set of true probabilities for a trial of n=36 patients in cohorts of size 1, and we counted the number of incoherent dosing decisions that were made throughout this simulated trial. Each of the methods studied resulted in 13/36 (36%) incoherent decisions in the simulated trial. Additionally, for two different target dose-limiting toxicity rates, 20% and 30%, and a sample size of n=30 patients, we randomly generated 100 dose-toxicity curves and tabulated the number of incoherent decisions made by each method in 1000 simulated trials under each curve. For each method studied, the probability of incurring at least one incoherent decision during the conduct of a single trial is greater than 75%. Coherency is an important principle in the conduct of dose-finding trials. Interval-based methods violate this principle for cohorts of size 1 and require additional modifications to overcome this shortcoming. Researchers need to take a closer look at the dose assignment behavior of interval-based methods when using them to plan dose-finding studies.
本文研究了基于区间的剂量探索方法中的一致性概念。不一致决策要么是(a)在观察到剂量限制性毒性后建议增加剂量,要么是(b)在非剂量限制性毒性后建议减少剂量。在一个模拟示例中,我们说明贝叶斯最优区间方法和键盘方法是不一致的。我们在一个假设的真实概率集下生成了 n=36 例患者的 1 例队列中的剂量限制性毒性结果,并且计算了整个模拟试验中做出的不一致剂量决策的数量。在所研究的方法中,每种方法在模拟试验中都有 13/36(36%)的不一致决策。此外,对于两个不同的目标剂量限制性毒性率,20%和 30%,以及 n=30 例患者的样本量,我们随机生成了 100 条剂量毒性曲线,并在每条曲线下的 1000 次模拟试验中列出了每种方法做出的不一致决策数量。对于每种研究方法,在单次试验中发生至少一个不一致决策的概率大于 75%。一致性是剂量探索试验中一个重要的原则。基于区间的方法对于大小为 1 的队列违反了这一原则,需要进行额外的修改以克服这一缺陷。当使用基于区间的方法来规划剂量探索研究时,研究人员需要更仔细地研究这些方法的剂量分配行为。