Conditional Method Agreement Trees (COAT)
Description
Agreement of continuously scaled measurements made by two techniques, devices or methods is usually
evaluated by the well-established Bland-Altman analysis or plot. Conditional method agreement trees (COAT),
proposed by Karapetyan, Zeileis, Henriksen, and Hapfelmeier (2023) ,
embed the Bland-Altman analysis in the framework of recursive partitioning to explore heterogeneous method
agreement in dependence of covariates. COAT can also be used to perform a Bland-Altman test for differences
in method agreement.