期刊
STATISTICS IN MEDICINE
卷 26, 期 28, 页码 5047-5080出版社
JOHN WILEY & SONS LTD
DOI: 10.1002/sim.2901
关键词
interim analyses; operating characteristics; stopping rules; sample size
类别
资金
- NHLBI NIH HHS [HL69717] Funding Source: Medline
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. Copyright (c) 2007 John Wiley & Sons, Ltd.
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