An Information Criterion Approach for Assessing Agreement When Comparing Two Methods of Measurement
Year: 2025
Type: article
Abstract: In laboratory and clinical sciences, it is a common enough challenge to compare two methods of measurement on the same set of samples or closely related samples with the goal of assessing agreement. Current regulatory guidance cites the Bland-Altman plot, Deming regression, and concordance correlation coefficient. Each choice relies on its assumption of a particular model. A new statistical approach based on an information criterion is proposed. This integrated approach evaluates the data against six models simultaneously. This information criterion approach provides an objective, data-driven, easily calculated, informative, and clear decision rule. Real data sets from the assay comparison of patient-centric sampling are used to illustrate the new approach.
Source: Statistics in Medicine
DOI: 10.1002/sim.70315
Authors: Charles Y. Tan, Yi Wang, Ogert Fisniku, Katty Wan
Institution: Pfizer (United States)
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4416415173