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Concordance correlation in the measurements of time to event
Xinhua Liu1, Yunling Du, Jeanne Teresi
1Department of Biostatistics, New York State Psychiatric Institute & Columbia University, New York, NY 10032, USA. x126@columbia.edu
Abstract:
The concordance correlation coefficient (CCC), a measure of concordance in ratings from multiple raters, was used to study inter-rater agreement in measurements of time to event, generally not observed with perfect consistency among raters. As a function of the first two moments of rating measures, the CCC can be estimated with data subject to censoring, using a likelihood-based estimation method applied under the assumptions of random censoring and parametric distribution models for the ratings of time to event. A simulation study was conducted for small sample performance under various censoring proportions. The use of the CCC with censored data is illustrated with an example taken from a data set containing data on time to an event with two raters per subject.
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