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预期具有优效性时评估非劣效性的随机临床试验设计。

Randomized clinical trial design for assessing noninferiority when superiority is expected.

作者信息

Freidlin Boris, Korn Edward L, George Stephen L, Gray Robert

机构信息

Biometric Research Branch, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD 20892, USA.

出版信息

J Clin Oncol. 2007 Nov 1;25(31):5019-23. doi: 10.1200/JCO.2007.11.8711.

Abstract

The randomized clinical trial (RCT) is the gold standard for definitive evaluation of new therapies. RCTs designed to show that the therapeutic efficacy of a new therapy is not unacceptably inferior to that of standard therapy are called noninferiority trials. Traditionally, noninferiority trials have required very large sample sizes. Sometimes, a new treatment regimen with a favorable toxicity and/or tolerability profile is also expected to have some modest improvement in efficacy. In such specialized settings we describe a hybrid trial-design approach that requires a dramatically smaller sample size than that of a standard noninferiority design. This hybrid design can naturally incorporate a formal test of superiority as well as noninferiority.

摘要

随机临床试验(RCT)是对新疗法进行确定性评估的金标准。旨在表明新疗法的治疗效果不比标准疗法差到不可接受程度的RCT被称为非劣效性试验。传统上,非劣效性试验需要非常大的样本量。有时,具有良好毒性和/或耐受性特征的新治疗方案也有望在疗效上有一定程度的适度改善。在这种特殊情况下,我们描述了一种混合试验设计方法,该方法所需的样本量比标准非劣效性设计要小得多。这种混合设计可以自然地纳入优越性以及非劣效性的正式检验。

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