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A two-stage phase II design with direct assignment option in stage II for initial marker validation

机译:两级第二阶段II设计阶段II直接分配选项用于初始标记验证

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摘要

Biomarkers are critical to targeted therapies as they may identify patients more likely to benefit from a treatment. Several prospective designs for biomarker directed therapy have been previously proposed, differing primarily in the study population, randomization scheme, or both. Recognizing the need for randomization yet acknowledging the possibility of promising but inconclusive results after a Stage I cohort of randomized patients, we propose a two-stage Phase II design on marker-positive patients that allows for direct assignment in a Stage II cohort. In Stage I, marker-positive patients are equally randomized to receive experimental treatment or control. Stage II has the option to adopt “direct assignment” whereby all patients receive experimental treatment. Through simulation, we studied the power and type I error rate (T1ER) of our design compared to a balanced randomized two-stage design, and performed sensitivity analyses to study the effect of timing of Stage I analysis, population shift effects and unbalanced randomization. Our proposed design has minimal loss in power (<1.8%) and increase in T1ER (<2.1%) compared to a balanced randomized design. The maximum increase in T1ER in the presence of a population shift was between 3.1–5%; the loss in power across possible timings of Stage I analysis was <1.2%. Our proposed design has desirable statistical properties with potential appeal in practice. The direct assignment option, if adopted, provides for an “extended confirmation phase” as an alternative to stopping the trial early for evidence of efficacy in Stage I.
机译:生物标志物对靶向疗法至关重要,因为它们可以识别更容易受益于治疗的患者。先前已经提出了用于生物标志物定向治疗的几种预期设计,主要是在研究人群,随机化方案或两者中不同。认识到随机化的需求尚待承认在I阶段随机患者队列后的有希望但不确定的结果的可能性,我们提出了一种在阶段II队队列中的标志性阳性患者的两级第二阶段II设计。在I阶段,标记阳性患者同样随机接受实验治疗或对照。阶段II可以选择采用“直接转让”,其中所有患者都接受了实验治疗。通过仿真,我们研究了我们设计的电力和I型错误率(T1er)与平衡的随机两级设计相比,进行了敏感性分析,研究了阶段I分析,人口换档效应和不平衡随机化的时间。与平衡随机设计相比,我们所提出的设计具有最小的功率(<1.8%)和T1er(<2.1%)的增加。在人口班次存在下,T1er的最大增加介于3.1-5%之间; I分析阶段可能的可能定时的电力损失<1.2%。我们所提出的设计具有理想的统计特性,实际上具有潜在的吸引力。如果通过,直接分配选项规定了“扩展确认阶段”作为替代阶段I阶段疗效的验证的替代方案。

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