Your browser doesn't support javascript.
loading
Potency Assay Variability Estimation in Practice.
Li, Hang; Witkos, Tomasz M; Umlauf, Scott; Thompson, Christopher.
Afiliação
  • Li H; Data Science & Modelling, Biopharmaceutical Development, AstraZeneca, Gaithersburg, Maryland, USA.
  • Witkos TM; Bioassay, Biosafety and Impurities, Biopharmaceutical Development, AstraZeneca, Cambridge, UK.
  • Umlauf S; Bioassay, Biosafety and Impurities, Biopharmaceutical Development, AstraZeneca, Gaithersburg, Maryland, USA.
  • Thompson C; Data Science & Modelling, Biopharmaceutical Development, AstraZeneca, Gaithersburg, Maryland, USA.
Pharm Stat ; 2024 Jul 08.
Article em En | MEDLINE | ID: mdl-38978387
ABSTRACT
During the drug development process, testing potency plays an important role in the quality assessment required for the manufacturing and marketing of biologics. Due to multiple operational and biological factors, higher variability is usually observed in bioassays compared with physicochemical methods. In this paper, we discuss different sources of bioassay variability and how this variability can be statistically estimated. In addition, we propose an algorithm to estimate the variability of reportable results associated with different numbers of runs and their corresponding OOS rates under a given specification. Numerical experiments are conducted on multiple assay formats to elucidate the empirical distribution of bioassay variability.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Pharm Stat Assunto da revista: FARMACOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Pharm Stat Assunto da revista: FARMACOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido