Objective criteria for statistical assessments of cross validation of bioanalytical methods

Integrating Bland-Altman plots with equivalence boundaries offers a robust, statistically sound framework for cross validation in bioanalytical studies. This method enhances the quality and consistency of pharmacokinetic data, supporting more reliable clinical trial endpoints.

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Publication Details

Journal
Bioanalysis
Published
2025-10-18
DOI
https://doi.org/10.1080/17576180.2025.2580280
Primary Topic
Biosimilars and Bioanalytical Methods
Type
article
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article

Objective criteria for statistical assessments of cross validation of bioanalytical methods

Catherine L Brockus, Dongyan Yan, Marina Guadalupe Pintado Herrera, Hui-Rong Qian
Bioanalysis
Biosimilars and Bioanalytical Methods
article

Objective criteria for statistical assessments of cross validation of bioanalytical methods

Catherine L Brockus, Dongyan Yan, Marina Guadalupe Pintado Herrera, Hui-Rong Qian
article en

Abstract

Integrating Bland-Altman plots with equivalence boundaries offers a robust, statistically sound framework for cross validation in bioanalytical studies. This method enhances the quality and consistency of pharmacokinetic data, supporting more reliable clinical trial endpoints.

BioanalysisVol. 17(20)
Eli Lilly (United States) (US)
Openalex Percentile: Top 68%
Biosimilars and Bioanalytical Methods
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Objective criteria for statistical assessments of cross validation of bioanalytical methods — Catherine L Brockus, Dongyan Yan, et al. · Bioanalysis (2025) | TGRS Research Map | TGRS