Pong Annpey, Chow Susan S, Chow Shein-Chung
Biostatistics, Merck & Co Inc., Rahway, NJ, USA.
Internal Medicine, The Wright Center for Community Health, Scranton, PA, USA.
Biologics. 2024 Dec 6;18:377-387. doi: 10.2147/BTT.S470182. eCollection 2024.
For assessment of biosimilar drug products, if there are multiple-reference products (eg, a US-licensed product and an EU-approved product), a biosimilar bridging study with a 3-way pairwise comparison is often conducted. In our paper, two innovative methods in biosimilar bridging study are compared with the conventional method of pairwise comparisons. For parallel study design, the simultaneous confidence interval (CI) method is compared to the convention method. For crossover study design, the multiplicity-adjusted Schuirmann's two one-sided tests (MATOST) is considered. This paper conclude that the simultaneous CI method achieves the similar statistical power to the conventional approach in biosimilarity assessment. However, the MATOST method using the conservative Holm and Bonferroni approaches is not favorable since it leads to a large sample size although it controls the type I error rate.
对于生物类似药产品的评估,如果存在多个参比产品(例如,一个美国获批产品和一个欧盟获批产品),通常会进行三方两两比较的生物类似药桥接研究。在我们的论文中,将生物类似药桥接研究中的两种创新方法与传统的两两比较方法进行了比较。对于平行研究设计,将同时置信区间(CI)方法与传统方法进行了比较。对于交叉研究设计,考虑了多重性调整的舒尔曼双侧单侧检验(MATOST)。本文得出结论,在生物相似性评估中,同时置信区间方法与传统方法具有相似的统计效能。然而,使用保守的霍尔姆和邦费罗尼方法的MATOST方法并不理想,因为尽管它控制了I型错误率,但会导致样本量过大。