title: Using Bland-Altman to assess agreement between two medical devices--don't forget the confidence intervals!
abstract: The limits of agreement approach of Bland and Altman is by far the most popular method for investigating statistical agreement between two measurement devices. This work presents the dangers of relying exclusively on the limits of agreement alone and argues that authors should always provide confidence intervals to assess the variability in the estimated limits.
authors.affiliation: Edwards Lifesciences, One Edwards Way, Irvine, CA 92614, USA. Cody_Hamilton@Edwards.com
authors.forename: Cody
authors.initials: C
authors.lastname: Hamilton
authors.forename: James
authors.initials: J
authors.lastname: Stamey
mesh_terms: D001786:Blood Glucose / Q000032:analysis; D016001:Confidence Intervals; D003627:Data Interpretation, Statistical; D006801:Humans; D015233:Models, Statistical; D008991:Monitoring, Physiologic / Q000706:statistics & numerical data*; D015588:Observer Variation; D012016:Reference Values; D015203:Reproducibility of Results; D012107:Research Design / Q000706:statistics & numerical data; D018709:Statistics, Nonparametric
chemical_list: D001786:Blood Glucose