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Comparison of Three Methods for Power and Sample Size Determination in Bioequivalence Test

机译:生物等效性测试中三种确定功效和样本量的方法的比较

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Bioequivalence test is becoming more frequently used in clinical trials. Investigators are now asking statisticians for advice on how to plan and analyze studies using bioequivalence test, which includes questions on sample size determination (SSD). SSD is a crucial aspect of experimental design. Here, three methods were discussed for evaluating power and sample size in bioequivalence test with two-independent samples design and two-period crossover design. Based on summarizing the factors which affected power and sample size in traditional significance test and bioequivalence test such as α, β,θ,Δ,δ and σ, especially introduced the meaning ofαandβin detail, we explore some of the questions surrounding SSD for bioequivalence test in this paper. We found that the power will be negative calculated by simplified Jen-pei Liu and Shein-Chung Chow’s method when n is small or CV is large, which is undoubtedly unreasonable. What’s more, we confirmed computer simulation is a great way to work out sample size and it can make up for the defections of the other two methods.
机译:生物等效性测试在临床试验中变得越来越普遍。现在,研究人员正在向统计学家寻求有关如何使用生物等效性测试计划和分析研究的建议,其中包括有关样本量确定(SSD)的问题。 SSD是实验设计的关键方面。在这里,讨论了三种方法在具有两个独立样本设计和两个时期交叉设计的生物等效性测试中评估功效和样本量的方法。在总结影响传统显着性检验和生物等效性测试的功效和样本量的因素(如α,β,θ,Δ,δ和σ)的基础上,特别详细介绍了α和β的含义,探讨了围绕SSD进行生物等效性测试的一些问题在本文中。我们发现,当n小或CV大时,简化的刘仁培和周信中方法计算出的幂将为负,这无疑是不合理的。此外,我们确认了计算机模拟是确定样本数量的好方法,并且可以弥补其他两种方法的不足。

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