A Proposal for Strength-of-Agreement Criteria for Lin’s Concordance Correlation Coefficient
By G. Mahon. 2005
795 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/0bed3bdb75247d09d4c5f1398cd309272fd26ad5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Denise Spaan
- Claire Burke
- O. McAree
- A. Hutschenreiter
- Coral E. Rangel-Rivera
- S. Longmore
- Serge A. Wich
- P. R. McWhirter
Citations in the corpus
- Test–retest: Agreement or reliability? (2016, unknown): “Following McBride (2005), values of at least 0.95 are necessary to indicate good agreement properties.”
- Thermal Infrared Imaging from Drones Offers a Major Advance for Spider Monkey Surveys (2019, background): “Agreement is measured from minus one to one where one is perfect agreement [39].”
- User's guide to correlation coefficients (2018, background): “Lin's concordance correlation coefficient (ρc) is a measure which tests how well bivariate pairs of observations conform relative to a gold standard or another set.(7) Lin's CCC (ρc) measures both precision (ρ) and accuracy (Cβ).”