Correlation Is Not Agreement: Bland-Altman, Kappa & ICC Explained
Why does a near-perfect correlation still mislead your diagnosis? In Talk 8 of our Agreement & Reliability series, we break down how to properly compare measurement methods and observers in clinical research. Learn how to read Bland-Altman plots (bias, limits of agreement, and proportional bias), use Cohen's Kappa for categorical outcomes, and apply the Intraclass Correlation Coefficient (ICC) and Standard Error of Measurement for continuous data. We finish with a real case: validating a new oscillometric blood pressure monitor against Doppler in cats — and why r = 0.91 isn't the win it looks like. Perfect for clinicians, researchers, and students who want to know when two methods can truly be used interchangeably. 👍 If this helped clear things up, smash that Like button and Subscribe for the rest of the series. Hit the bell so you never miss a talk! #Biostatistics #BlandAltman #CohensKappa #ICC #Statistics #ClinicalResearch #DataAnalysis #VeterinaryMedicine #MethodAgreement #ResearchMethods #MedicalStatistics #Reliability #epidemiology #veterinaryepidemiology #vetschool #vetstudent #veterinaryeducation #vetmed #veterinarymedicine
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