A Unified Approach for Assessing Agreement for Continuous and Categorical Data

• Published in: Journal of biopharmaceutical statistics Vol. 17; no. 4; pp. 629 - 652
• Main Authors: Lin, Lawrence, Hedayat, A. S., Wu, Wenting
• Format: Journal Article
• Language: English
• Published: England Taylor & Francis Group 01.01.2007
• Subjects: Accuracy; Algorithms; Animals; Antibodies - blood; Antibodies - immunology; Aspirin - analogs & derivatives; Aspirin - blood; Biometry - methods; Blood Substitutes - analysis; CCC; Clinical Chemistry Tests - methods; Clinical Chemistry Tests - statistics & numerical data; Computer Simulation; Hemagglutination Inhibition Tests - statistics & numerical data; Hemoglobins; Humans; ICC; Influenza A virus - immunology; Inter-agreement; Intra-agreement; Kappa; Models, Statistical; MSD; Observer Variation; Precision; Rabbits; Reproducibility of Results; TDI; Total-agreement

This paper proposes several Concordance Correlation Coefficient (CCC) indices to measure the agreement among k raters, with each rater having multiple (m) readings from each of the n subjects for continuous and categorical data. In addition, for normal data, this paper also proposes the coverage pro...