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使用先验信息的事件率等效性试验的样本量。

Sample sizes for event rate equivalence trials using prior information.

作者信息

Gould A L

机构信息

Merck Research Laboratories, West Point, PA 19486.

出版信息

Stat Med. 1993 Nov 15;12(21):2009-23. doi: 10.1002/sim.4780122105.

Abstract

Trials for demonstrating the 'equivalence' of active standard and test treatments generally require large sample sizes that depend on the definition of 'equivalence' and the overall event rate when the outcome is incidence of an event such as mortality. The planning of sample sizes for such trials requires specification of a value for the overall event rate. This value often will reflect the outcomes of previous trials of the standard treatment, and is subject to uncertainty that needs some accommodation, to protect against an inadequate sample. Bayes and Empirical Bayes methods can be used to incorporate information from one or more previous trials into the sample size calculation when equivalence means high confidence that the event rate ratio is less than some specified value.

摘要

用于证明活性对照药与试验药物“等效性”的试验通常需要大样本量,样本量大小取决于“等效性”的定义以及当结局为某事件(如死亡率)的发生率时的总体事件发生率。此类试验的样本量规划需要明确总体事件发生率的值。该值通常会反映既往标准治疗试验的结果,并且存在不确定性,需要予以考虑,以防止样本量不足。当等效性意味着有高度把握认为事件发生率比小于某个指定值时,可使用贝叶斯方法和经验贝叶斯方法将来自一项或多项既往试验的信息纳入样本量计算中。

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