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Sample Size Calculation for Bioequivalence Studies Assessing Drug Effect and Food Effect at the Same Time With a 3-Treatment Williams Design

机译:生物等效性研究的样本量计算,可通过三处理Williams设计同时评估药物作用和食物作用

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摘要

The US Food and Drug Administration issued a guidance in 2002, "Food-Effect Bioavailability and Fed Bioequivalence Studies," in which it states "in addition to a BE [bioequivalence] study under fasting conditions, we recommend a BE study under fed conditions for all orally administered immediate-release drug products'' for abbreviated new drug applications. This statement involves 3 studies: a BE study under fasting status, a food-effect (FE) study, and a BE study under fed status. In practice, when it is known that there is no FE with a reference (R) formulation, a sponsor may choose to run a BE study that assesses the drug effect and food effect with a test (T) formulation in a single study that includes 3 treatments: R formulation at fasting status, T formulation at fasting status, and T formulation at fed status. Such a study combines the fasting BE study and the FE study on the T formulation and may justify the waiver of the fed BE study if conclusions can be made that there is no FE with the T formulation after this combined study completes. This article discusses how to calculate the sample size for this kind of study with different primary analysis models. Also discussed are (1) sample size calculations with more general BE studies and (2) how they can be implemented using commercial software in a standard 2-treatment, 2-period, and 2-sequence crossover design, as well as (3) a related practical issue of how to retrieve residual intrasubject mean squared error from historical summary results in the literature.
机译:美国食品药品监督管理局(FDA)在2002年发布了“食品效果生物利用度和美联储生物等效性研究”指南,其中指出“除了禁食条件下的BE [生物等效性]研究,我们还建议在以下条件下进行BE的研究:所有经口服给药的速释药物都用于新药的缩写。该陈述涉及3项研究:禁食状态下的BE研究,食品效果(FE)研究和进食状态下的BE研究。已知没有参考(R)制剂的FE,申办者可以选择进行BE研究,以在包含3种治疗的单个研究中通过测试(T)制剂评估药物作用和食物作用。这项研究结合了禁食BE研究和关于T制剂的有限元研究,如果可以得出结论,则可以放弃放弃BE研究没有这项联合研究完成后,FE与T配方一起使用。本文讨论了如何使用不同的主要分析模型来计算此类研究的样本量。还讨论了(1)通过更常规的BE研究进行的样本大小计算,以及(2)如何使用商业软件在标准的2处理,2周期和2序列交叉设计中实现它们,以及(3)有关如何从文献中的历史总结结果中检索残差的受试者内部均方误差的相关实践问题。

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