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Evaluation of correlation between bioanalytical methods.
Gleason, Carol R; Ji, Qin C; Wickremsinhe, Enaksha R.
Afiliación
  • Gleason CR; Bristol-Myers Squibb Company, Princeton, NJ 08543, USA.
  • Ji QC; Bristol-Myers Squibb Company, Princeton, NJ 08543, USA.
  • Wickremsinhe ER; Eli Lilly & Company, Indianapolis, IN 46285, USA.
Bioanalysis ; 12(6): 419-426, 2020 Mar.
Article en En | MEDLINE | ID: mdl-32285680
ABSTRACT
Bioanalytical methods evolve throughout clinical development timelines, resulting in the need for establishing equivalency or correlation between different methods to enable comparison of data across different studies. This is accomplished by the conduct of cross validations and correlative studies to compare and describe the relationship. The incurred sample reanalysis acceptance criterion seems to be adopted universally for cross validations and correlative studies; however, this does not identify any trends or biases between the two methods (datasets) being compared. Presented here are graphing approaches suitable for comparing two methods and describing equivalence or correlation. This article aims to generate awareness on graphing techniques that can be adopted during cross validations and correlative studies.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Bioensayo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Bioanalysis Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Bioensayo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Bioanalysis Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos