Evaluation of correlation between bioanalytical methods

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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Bioanalysis 2020-03, Vol.12 (6), p.419-426
Hauptverfasser: Gleason, Carol R, Ji, Qin C, Wickremsinhe, Enaksha R
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
ISSN:1757-6180
1757-6199
DOI:10.4155/bio-2020-0019