Zheng Jiayin, Chow Shein-Chung
Biostatistics Program, Public Health Sciences, Fred Hutchinson Cancer Research Center , Seattle , Washington , USA.
Department of Biostatistics and Bioinformatics, Duke University School of Medicine , Durham , North Carolina , USA.
J Biopharm Stat. 2019;29(5):908-919. doi: 10.1080/10543406.2019.1657130. Epub 2019 Sep 7.
In pharmaceutical/clinical development, two-stage seamless adaptive designs are commonly considered. Such designs include a two-stage phase I/II or phase II/III adaptive trial that combines one phase IIb study for dose-finding or treatment selection and one phase III study for efficacy confirmation into a single study. At the end of stage 1, promising dose(s) will be selected based on pre-specified selection criteria. In practice, since there is little power with limited subjects available at interim, commonly considered selection criteria for critical decision-making include (i) conditional power, (ii) precision analysis, (iii) predictive probability of success, and (iv) probability of being the best dose or treatment. The selected promising dose(s) will then proceed to the next stage for efficacy confirmation. In this article, we introduce, compare, and evaluate these criteria. Simulation studies and a numeric example are given to illustrate those criteria. Besides, we attempt to address some concerns for the two-stage seamless adaptive clinical trial.
在药物研发/临床开发中,通常会考虑两阶段无缝自适应设计。此类设计包括两阶段的I/II期或II/III期自适应试验,即将一项用于剂量探索或治疗选择的IIb期研究与一项用于疗效确证的III期研究合并为一项单一研究。在第1阶段结束时,将根据预先指定的选择标准选择有前景的剂量。在实际操作中,由于中期可用受试者数量有限,用于关键决策的常见选择标准包括:(i)条件把握度;(ii)精确性分析;(iii)成功的预测概率;以及(iv)成为最佳剂量或治疗方案的概率。然后,选定的有前景的剂量将进入下一阶段进行疗效确证。在本文中,我们介绍、比较并评估这些标准。通过模拟研究和一个数值示例来说明这些标准。此外,我们试图解决两阶段无缝自适应临床试验的一些问题。