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事件发生时间测量中的一致性相关性。

Concordance correlation in the measurements of time to event.

作者信息

Liu Xinhua, Du Yunling, Teresi Jeanne, Hasin Deborah S

机构信息

Department of Biostatistics, New York State Psychiatric Institute & Columbia University, New York, NY 10032, USA.

出版信息

Stat Med. 2005 May 15;24(9):1409-20. doi: 10.1002/sim.2004.

DOI:10.1002/sim.2004
PMID:15568183
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.

摘要

一致性相关系数(CCC)是一种衡量多个评分者评分一致性的指标,用于研究事件发生时间测量中的评分者间一致性,评分者之间通常不会完全一致。作为评分测量前两个矩的函数,CCC可以使用基于似然的估计方法,在随机删失和事件发生时间评分的参数分布模型假设下,对删失数据进行估计。针对不同删失比例下的小样本性能进行了模拟研究。通过一个数据集的例子说明了CCC在删失数据中的应用,该数据集包含每个受试者有两个评分者的事件发生时间数据。

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