Analytical method transfer: Improving interpretability with ratio-based statistical approaches

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • C. Frömke
  • L. A. Hothorn
  • F. Sczesny
  • J. Onken
  • M. Schneider

Organisationseinheiten

Externe Organisationen

  • Medizinische Hochschule Hannover (MHH)
  • Abbott Laboratories
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)186-193
Seitenumfang8
FachzeitschriftJournal of Pharmaceutical and Biomedical Analysis
Jahrgang74
Frühes Online-Datum5 Nov. 2012
PublikationsstatusVeröffentlicht - 23 Feb. 2013

Abstract

After assay validation in an originating laboratory, an analytical method needs to be transferred to one or several production laboratories, because measured outcomes among the laboratories must agree. To state agreement, the locations (e.g. means) must be equivalent and the production laboratory must be non-inferior to the originating one concerning scales (e.g. standard deviations). Here, parametric and non-parametric approaches based on marginal confidence intervals for the ratio of locations and the ratio of scales are presented. These intervals are appropriate for a matched pairs design without repeated measurements. Results of simulation studies investigating the power and the control of the type I error are shown and limits of the approaches are discussed. In addition, a Bland-Altman plot with tolerance intervals is proposed. As illustrated in the example proportional differences greatly improve the interpretation of the results compared to absolute differences.

ASJC Scopus Sachgebiete

Zitieren

Analytical method transfer: Improving interpretability with ratio-based statistical approaches. / Frömke, C.; Hothorn, L. A.; Sczesny, F. et al.
in: Journal of Pharmaceutical and Biomedical Analysis, Jahrgang 74, 23.02.2013, S. 186-193.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Frömke C, Hothorn LA, Sczesny F, Onken J, Schneider M. Analytical method transfer: Improving interpretability with ratio-based statistical approaches. Journal of Pharmaceutical and Biomedical Analysis. 2013 Feb 23;74:186-193. Epub 2012 Nov 5. doi: 10.1016/j.jpba.2012.10.032
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