Local regression: a new approach for measurement system comparison analysis.
A new graphical approach for analysis of measurement system comparison studies is proposed. Unlike the established linear regression and Bland-Altman analysis, it does not depend on the assumption of a linear relationship. We review the established analysis approaches and propose a difference plot with non-parametric regression as an adequate tool to describe the relationship between two measurement systems. Along with pre-defined level-dependent acceptance limits, this approach may provide evidence for metrological equivalence between two measurement systems. Several data examples are given to illustrate this approach.
Geistanger
Andrea
A
Department of Biostatistics, Roche Diagnostics GmbH, Penzberg, Germany. andrea.geistanger@roche.com
Berding
Christoph
C
Vorberg
Ewald
E
Herlan
Mark
M
D006442:Glycated Hemoglobin / Q000032:analysis; D006801:Humans; D007070:Immunoglobulin A / Q000032:analysis; D016014:Linear Models; D012044:Regression Analysis; D012107:Research Design
D006442:Glycated Hemoglobin; D007070:Immunoglobulin A; C517652:hemoglobin A1c protein, human