| Literature DB >> 15568183 |
Xinhua Liu1, Yunling Du, Jeanne Teresi, Deborah S Hasin.
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. Copyright 2004 John Wiley & Sons, Ltd.Mesh:
Year: 2005 PMID: 15568183 DOI: 10.1002/sim.2004
Source DB: PubMed Journal: Stat Med ISSN: 0277-6715 Impact factor: 2.373