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Concordance correlation in the measurements of time to event
Author(s) -
Liu Xinhua,
Du Yunling,
Teresi Jeanne,
Hasin Deborah S.
Publication year - 2005
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.2004
Subject(s) - censoring (clinical trials) , statistics , concordance , correlation , mathematics , event (particle physics) , parametric statistics , consistency (knowledge bases) , econometrics , computer science , medicine , physics , geometry , quantum mechanics
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.