Bauer Peter, Bretz Frank, Dragalin Vladimir, König Franz, Wassmer Gernot
Section of Medical Statistics, Medical University of Vienna, Spitalgasse 23, 1090 Wien, Austria.
Novartis Pharma AG, Lichtstrasse 35, 4002, Basel, Switzerland.
Stat Med. 2016 Feb 10;35(3):325-47. doi: 10.1002/sim.6472. Epub 2015 Mar 16.
'Multistage testing with adaptive designs' was the title of an article by Peter Bauer that appeared 1989 in the German journal Biometrie und Informatik in Medizin und Biologie. The journal does not exist anymore but the methodology found widespread interest in the scientific community over the past 25 years. The use of such multistage adaptive designs raised many controversial discussions from the beginning on, especially after the publication by Bauer and Köhne 1994 in Biometrics: Broad enthusiasm about potential applications of such designs faced critical positions regarding their statistical efficiency. Despite, or possibly because of, this controversy, the methodology and its areas of applications grew steadily over the years, with significant contributions from statisticians working in academia, industry and agencies around the world. In the meantime, such type of adaptive designs have become the subject of two major regulatory guidance documents in the US and Europe and the field is still evolving. Developments are particularly noteworthy in the most important applications of adaptive designs, including sample size reassessment, treatment selection procedures, and population enrichment designs. In this article, we summarize the developments over the past 25 years from different perspectives. We provide a historical overview of the early days, review the key methodological concepts and summarize regulatory and industry perspectives on such designs. Then, we illustrate the application of adaptive designs with three case studies, including unblinded sample size reassessment, adaptive treatment selection, and adaptive endpoint selection. We also discuss the availability of software for evaluating and performing such designs. We conclude with a critical review of how expectations from the beginning were fulfilled, and - if not - discuss potential reasons why this did not happen.
彼得·鲍尔于1989年发表在德国期刊《医学与生物学中的生物统计学与信息学》上的一篇文章标题为“采用适应性设计的多阶段试验”。该期刊现已停刊,但在过去25年里,这种方法在科学界引起了广泛关注。从一开始,这种多阶段适应性设计的使用就引发了许多有争议的讨论,尤其是在鲍尔和克内于1994年在《生物统计学》上发表文章之后:对这类设计潜在应用的广泛热情,面临着对其统计效率的批评立场。尽管或者可能正是因为这种争议,这些年来该方法及其应用领域稳步发展,世界各地学术界、行业和机构的统计学家都做出了重要贡献。与此同时,这类适应性设计已成为美国和欧洲两份主要监管指南文件的主题,该领域仍在不断发展。在适应性设计的最重要应用方面,包括样本量重新评估、治疗选择程序和人群富集设计,进展尤其值得注意。在本文中,我们从不同角度总结了过去25年的发展情况。我们提供了早期的历史概述,回顾了关键的方法学概念,并总结了对此类设计的监管和行业观点。然后,我们通过三个案例研究来说明适应性设计的应用,包括非盲法样本量重新评估、适应性治疗选择和适应性终点选择。我们还讨论了用于评估和执行此类设计的软件的可用性。我们最后对最初的期望是否得到满足进行了批判性回顾,如果没有,讨论了未能实现的潜在原因。