贝叶斯临床试验监测的内容、原因及方式。
The what, why and how of Bayesian clinical trials monitoring.
作者信息
Freedman L S, Spiegelhalter D J, Parmar M K
机构信息
Biometry Branch, Division of Cancer Prevention and Control, National Institutes of Health, Bethesda, MD 20892.
出版信息
Stat Med. 1994;13(13-14):1371-83; discussion 1385-9. doi: 10.1002/sim.4780131312.
PMID:7973217
Abstract
We discuss the advantages and limitations of group sequential methods for monitoring clinical trials data. We describe a Bayesian approach, based upon the use of sceptical prior distributions, that avoids some of the limitations of group sequential methods. We illustrate its use with data from a trial of levamisole plus 5-Fluorouracil for colorectal cancer.
摘要
我们讨论了用于监测临床试验数据的序贯分组方法的优点和局限性。我们描述了一种基于使用怀疑先验分布的贝叶斯方法，该方法避免了序贯分组方法的一些局限性。我们用来自左旋咪唑加5-氟尿嘧啶治疗结直肠癌试验的数据说明了它的应用。
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