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The determination of biosimilarity margin and the assessment of biosimilarity for an (m+1)-arm parallel design.

Authors :
Park, Junhui
Kang, Seung-Ho
Source :
Communications in Statistics: Theory & Methods. 2022, Vol. 51 Issue 2, p387-403. 17p.
Publication Year :
2022

Abstract

One of the key issues in biosimilar phase III clinical trials is the determination of biosimilarity margins. Although biological products generally have high product variability, it is not reflected in the methods most commonly used for determining biosimilarity margins. In order to take into account high product variability, in this paper, we propose (m + 1) -arm parallel design, which consists of one biosimilar product group and m reference product groups. Because there are m reference product groups, we can estimate the between-batch variation of reference products using a random effect model. A statistical testing procedure appropriate for assessing biosimilarity using (m + 1) -arm parallel design is developed based on asymptotic theory. From simulation studies, we conclude that at least three reference product batches are needed for practical use of the proposed method. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
*RANDOM effects model

Details

Language :
English
ISSN :
03610926
Volume :
51
Issue :
2
Database :
Academic Search Index
Journal :
Communications in Statistics: Theory & Methods
Publication Type :
Academic Journal
Accession number :
154583083
Full Text :
https://doi.org/10.1080/03610926.2020.1749664