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Coherence principles in interval‐based dose finding

机译:间隔型剂量发现中的相干性原理

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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.
机译:本文研究了基于区间的剂量发现方法中的相干性概念。不一致的决定是(a)在观察到剂量限制性毒性后建议增加剂量,或(b)在非剂量限制性毒性后建议降低剂量。在一个模拟例子中,我们说明了贝叶斯最优区间法和键盘法是不一致的。我们在一组假定的真实概率下得出了一组剂量限制性毒性结果,该试验的n=36名患者为1号队列,我们统计了在整个模拟试验中做出的不一致剂量决定的数量。在模拟试验中,研究的每种方法都导致13/36(36%)的决策不一致。此外,对于两种不同的目标剂量限制毒性率(20%和30%)以及样本量为n=30的患者,我们随机生成了100条剂量-毒性曲线,并将每种方法在1000个模拟试验中做出的不一致决定的数量列成表格。对于所研究的每种方法,在进行一次试验期间,产生至少一个不一致决定的概率大于75%。一致性是进行剂量发现试验的一项重要原则。基于区间的方法违反了1号队列的这一原则,需要进行额外的修改以克服这一缺点。研究人员在计划剂量发现研究时,需要仔细研究基于间隔的方法的剂量分配行为。

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  • 来源
    《Pharmaceutical statistics.》 |2020年第2期|共8页
  • 作者单位

    Department of Public Health SciencesUniversity of VirginiaCharlottesville VA USA;

    Department of Epidemiology &

    BiostatisticsMemorial Sloan Kettering Cancer CenterNew York NY USA;

    LPSM INSERMSorbonne UniversityParis France;

    Department of Public Health SciencesUniversity of VirginiaCharlottesville VA USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 药学;
  • 关键词

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