Bretz Frank, Schmidli Heinz, König Franz, Racine Amy, Maurer Willi
Novartis Pharma AG, Lichtstrasse 35, 4002 Basel, Switzerland.
Biom J. 2006 Aug;48(4):623-34. doi: 10.1002/bimj.200510232.
Traditional drug development consists of a sequence of independent trials organized in different phases. Full development typically involves (i) a learning phase II trial and (ii) one or two confirmatory phase III trial(s). For example, in the phase II trials several doses of the new compound might be compared to a control and/or placebo with the goal of deciding whether to stop or continue development and, in the latter case, selecting one or two "best" doses to carry forward into the confirmatory phase. The phase III trials are then conducted as stand-alone confirmatory studies, not incorporating in their statistical analyses data collected in the previous phases. Seamless phase II/III designs are aimed at interweaving the two phases of full development by combining them into one single, uninterrupted study conducted in two stages. In the dose-finding example above, one (or more) dose(s) are selected after the first stage based on the available data at interim, and are then observed further in the second stage. The final analysis of the selected dose(s) includes patients from both stages and is performed such that the overall type I error rate is controlled at a prespecified level regardless of the dose selection rule used at interim. The adequacy of the dose selection at interim is obviously a critical step for the success of a seamless phase II/III trial. In this paper we focus on the description of flexible test procedures allowing for adaptively selecting hypotheses at interim and thus allowing the combination of learning and confirming in a single seamless trial. We review the statistical background, introduce different test procedures and compare them in a power study. In a subsequent paper (Schmidli et al., 2006) we give several applications from our daily practice and discuss related implementation issues in conducting adaptive seamless designs.
传统的药物研发由一系列分不同阶段组织的独立试验组成。完整的研发通常包括(i)一个探索性的II期试验和(ii)一或两个确证性的III期试验。例如,在II期试验中,可能会将新化合物的几个剂量与对照和/或安慰剂进行比较,目的是决定是否停止或继续研发,而在后一种情况下,选择一或两个“最佳”剂量推进到确证阶段。然后,III期试验作为独立的确证性研究进行,其统计分析不纳入前一阶段收集的数据。无缝II/III期设计旨在通过将完整研发的两个阶段合并为一个分两个阶段进行的单一、不间断的研究,来交织这两个阶段。在上述剂量探索的例子中,在第一阶段后根据中期的可用数据选择一个(或多个)剂量,然后在第二阶段进一步观察。对所选剂量的最终分析包括两个阶段的患者,并且进行分析时要使总体I型错误率控制在预先指定的水平,而不管中期使用的剂量选择规则如何。中期剂量选择的适当性显然是无缝II/III期试验成功的关键步骤。在本文中,我们专注于描述灵活的检验程序,该程序允许在中期自适应地选择假设,从而在单个无缝试验中实现探索和确证的结合。我们回顾统计背景,介绍不同的检验程序,并在效能研究中对它们进行比较。在后续论文(施密迪利等人,2006年)中,我们给出了一些日常实践中的应用,并讨论了进行适应性无缝设计时的相关实施问题。