Emerson Scott S, Kittelson John M, Gillen Daniel L
Department of Biostatistics, Box 357232, University of Washington, Seattle, WA 98195, USA.
Stat Med. 2007 Dec 10;26(28):5047-80. doi: 10.1002/sim.2901.
Group sequential stopping rules are often used as guidelines in the monitoring of clinical trials in order to address the ethical and efficiency issues inherent in human testing of a new treatment or preventive agent for disease. Such stopping rules have been proposed based on a variety of different criteria, both scientific (e.g. estimates of treatment effect) and statistical (e.g. frequentist type I error, Bayesian posterior probabilities, stochastic curtailment). It is easily shown, however, that a stopping rule based on one of these criteria induces a stopping rule on all other criteria. Thus, the basis used to initially define a stopping rule is relatively unimportant so long as the operating characteristics of the stopping rule are fully investigated. In this paper we describe how the frequentist operating characteristics of a particular stopping rule might be evaluated to ensure that the selected clinical trial design satisfies the constraints imposed by the many different disciplines represented by the clinical trial collaborators.
成组序贯停止规则常用于临床试验监测,以解决对疾病新治疗方法或预防药物进行人体试验所固有的伦理和效率问题。基于各种不同标准提出了此类停止规则,包括科学标准(如治疗效果估计)和统计标准(如频率学派I型错误、贝叶斯后验概率、随机截尾)。然而,很容易证明,基于这些标准之一的停止规则会在所有其他标准上诱导出一个停止规则。因此,只要对停止规则的操作特性进行充分研究,最初用于定义停止规则的基础相对并不重要。在本文中,我们描述了如何评估特定停止规则的频率学派操作特性,以确保所选的临床试验设计满足临床试验合作者所代表的许多不同学科施加的约束。