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标准生物等效性测试程序的序贯扩展

Group sequential extensions of a standard bioequivalence testing procedure.

作者信息

Gould A L

机构信息

Merck Research Laboratories, West Point, Pennsylvania 19486, USA.

出版信息

J Pharmacokinet Biopharm. 1995 Feb;23(1):57-86. doi: 10.1007/BF02353786.

Abstract

Bioequivalence trials compare the relative bioavailability of different formulations of a drug. Regulatory requirements for demonstrating average bioequivalence of two formulations generally include showing that a (say) 90% confidence interval for the ratio of expected pharmacologic end point values of the formulations lies between specified end points, e.g., 0.8-1.25. The likelihood of demonstrating bioequivalence when the formulations truly are equivalent depends on the sample size and on the variability of the pharmacologic end point. Group sequential bioequivalence testing provides a statistically valid way to accommodate misspecification of the variability in designing the trial by allowing for additional observations if a clear decision to accept or reject bioequivalence cannot be reached with the initial set of observations. This paper describes group sequential bioequivalence designs applicable in most practical situations that allow a decision to be reached with fewer observations than fixed-sample designs about 60% of the time at approximately the same average cost. The designs can be used in trials where the formulations are expected to have equal bioavailability and in trials where the formulations are expected to differ slightly. Data analyses are carried out exactly as for fixed-sample designs. Providing the capability of sequential decisions modestly affects the nominal significance levels, e.g., the required confidence level may be 93-94% instead of 90%.

摘要

生物等效性试验比较药物不同剂型的相对生物利用度。证明两种剂型平均生物等效性的监管要求通常包括表明两种剂型预期药理终点值之比的(比如)90%置信区间落在特定端点之间,例如0.8 - 1.25。当两种剂型真正等效时,证明生物等效性的可能性取决于样本量和药理终点的变异性。成组序贯生物等效性检验提供了一种统计上有效的方法,通过在初始观察集无法明确做出接受或拒绝生物等效性的决定时允许进行额外观察,来适应试验设计中变异性的错误设定。本文描述了适用于大多数实际情况的成组序贯生物等效性设计,这种设计在大约相同的平均成本下,约60%的时间内能够以比固定样本设计更少的观察次数做出决定。这些设计可用于预期剂型具有相同生物利用度的试验以及预期剂型略有差异的试验。数据分析与固定样本设计完全相同。提供序贯决策能力会适度影响名义显著性水平,例如,所需的置信水平可能是93% - 94%而不是90%。

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