Confidence Region Approach for Assessing Bioequivalence and Biosimilarity Accounting for Heterogeneity of Variability

For approval of generic drugs, the FDA requires that evidence of bioequivalence in average bioequivalence in terms of drug absorption be provided through the conduct of a bioequivalence study. A test product is said to be average bioequivalent to a reference (innovative) product if the 90% confidenc...

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Main Authors: Jianghao Li, Shein-Chung Chow
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2015/298647
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author Jianghao Li
Shein-Chung Chow
author_facet Jianghao Li
Shein-Chung Chow
author_sort Jianghao Li
collection DOAJ
description For approval of generic drugs, the FDA requires that evidence of bioequivalence in average bioequivalence in terms of drug absorption be provided through the conduct of a bioequivalence study. A test product is said to be average bioequivalent to a reference (innovative) product if the 90% confidence interval of the ratio of means (after log-transformation) is totally within (80%, 125%). This approach is considered a one-parameter approach, which does not account for possible heterogeneity of variability between drug products. In this paper, we study a two-parameter approach (i.e., confidence region approach) for assessing bioequivalence, which can also be applied to assessing biosimilarity of biosimilar products. The proposed confidence region approach is compared with the traditional one-parameter approach both theoretically and numerically (i.e., simulation study) for finite sample performance.
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spelling doaj-art-6108de59e5f04d7fa5bed5f7db3d11b12025-02-03T01:31:58ZengWileyJournal of Probability and Statistics1687-952X1687-95382015-01-01201510.1155/2015/298647298647Confidence Region Approach for Assessing Bioequivalence and Biosimilarity Accounting for Heterogeneity of VariabilityJianghao Li0Shein-Chung Chow1School of Medicine, Duke University, Durham, NC 27705, USASchool of Medicine, Duke University, Durham, NC 27705, USAFor approval of generic drugs, the FDA requires that evidence of bioequivalence in average bioequivalence in terms of drug absorption be provided through the conduct of a bioequivalence study. A test product is said to be average bioequivalent to a reference (innovative) product if the 90% confidence interval of the ratio of means (after log-transformation) is totally within (80%, 125%). This approach is considered a one-parameter approach, which does not account for possible heterogeneity of variability between drug products. In this paper, we study a two-parameter approach (i.e., confidence region approach) for assessing bioequivalence, which can also be applied to assessing biosimilarity of biosimilar products. The proposed confidence region approach is compared with the traditional one-parameter approach both theoretically and numerically (i.e., simulation study) for finite sample performance.http://dx.doi.org/10.1155/2015/298647
spellingShingle Jianghao Li
Shein-Chung Chow
Confidence Region Approach for Assessing Bioequivalence and Biosimilarity Accounting for Heterogeneity of Variability
Journal of Probability and Statistics
title Confidence Region Approach for Assessing Bioequivalence and Biosimilarity Accounting for Heterogeneity of Variability
title_full Confidence Region Approach for Assessing Bioequivalence and Biosimilarity Accounting for Heterogeneity of Variability
title_fullStr Confidence Region Approach for Assessing Bioequivalence and Biosimilarity Accounting for Heterogeneity of Variability
title_full_unstemmed Confidence Region Approach for Assessing Bioequivalence and Biosimilarity Accounting for Heterogeneity of Variability
title_short Confidence Region Approach for Assessing Bioequivalence and Biosimilarity Accounting for Heterogeneity of Variability
title_sort confidence region approach for assessing bioequivalence and biosimilarity accounting for heterogeneity of variability
url http://dx.doi.org/10.1155/2015/298647
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AT sheinchungchow confidenceregionapproachforassessingbioequivalenceandbiosimilarityaccountingforheterogeneityofvariability