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Type I Error Inflation of Blinded Sample Size Re-Estimation in Equivalence Testing

生物仿制药 等价(形式语言) I类和II类错误 样本量测定 医学 计量经济学 临时的 食品药品监督管理局 中期分析 临床试验 统计 计算机科学 数学 内科学 法学 离散数学 政治学
作者
Ekkehard Glimm,Lillian Yau,Heike Woehling
出处
期刊:Statistics in Biopharmaceutical Research [Taylor & Francis]
卷期号:13 (2): 156-169
标识
DOI:10.1080/19466315.2020.1845232
摘要

Biosimilar products are a relative newcomer in the pharmaceutical industry. It was only in 2006 that the first biosimilar product, Omnitrope[textregistered] (somatropin), a human growth hormone produced by Sandoz was approved by the European Medicine Agency, followed later the same year by the US Food & Drug Administration, and in 2009 by Pharmaceuticals and Medical Devices Agency in Japan. The clinical component of a biosimilar development borrows extensively from traditional drug development. However, when it comes to clinical study designs, this may not always be applicable. This article investigates Type I error violations that occur when blinded sample size reviews are applied in equivalence testing as used in biosimilar drug development. We give a derivation which explains why such violations are more pronounced in equivalence testing than in the case of superiority testing. In addition, the amount of Type I error inflation is quantified by simulation as well as by some theoretical considerations. Nonnegligible Type I error violations arise when blinded interim reassessments of sample sizes are performed particularly if sample sizes are small, but within the range of what is practically relevant.
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