title: Local regression: a new approach for measurement system comparison analysis.
abstract: 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.
authors.affiliation: Department of Biostatistics, Roche Diagnostics GmbH, Penzberg, Germany. andrea.geistanger@roche.com
authors.forename: Andrea
authors.initials: A
authors.lastname: Geistanger
authors.forename: Christoph
authors.initials: C
authors.lastname: Berding
authors.forename: Ewald
authors.initials: E
authors.lastname: Vorberg
authors.forename: Mark
authors.initials: M
authors.lastname: Herlan
mesh_terms: D006442:Glycated Hemoglobin / Q000032:analysis; D006801:Humans; D007070:Immunoglobulin A / Q000032:analysis; D016014:Linear Models; D012044:Regression Analysis; D012107:Research Design
chemical_list: D006442:Glycated Hemoglobin; D007070:Immunoglobulin A; C517652:hemoglobin A1c protein, human