Comparison of Innovative and Conventional Methods in Biosimilar Bridging Studies with Multiple References

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.

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Publication Details

Journal
Biologics
Published
2024-12-01
DOI
https://doi.org/10.2147/btt.s470182
Primary Topic
Biosimilars and Bioanalytical Methods
Type
article
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article

Comparison of Innovative and Conventional Methods in Biosimilar Bridging Studies with Multiple References

Annpey Pong, Shein‐Chung Chow, Shein Chung Chow
Biologics
Biosimilars and Bioanalytical Methods
article

Comparison of Innovative and Conventional Methods in Biosimilar Bridging Studies with Multiple References

Annpey Pong, Shein‐Chung Chow, Shein Chung Chow
article en

Abstract

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.

BiologicsVol. Volume 18
Merck & Co., Inc., Rahway, NJ, USA (United States) (US), Duke University (US), The Wright Center for Graduate Medical Education (US)
Openalex Percentile: Top 71%
Biosimilars and Bioanalytical Methods
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