The Concordance Correlation Coefficient for Repeated Measures Estimated by Variance Components

被引：65
|
作者：
Carrasco, Josep L. [1 ]
King, Tonya S. [2 ]
Chinchilli, Vernon M. [2 ]
机构：
[1] Univ Barcelona, Dept Publ Hlth, Barcelona, Spain
[2] Penn State Univ, Dept Publ Hlth Sci, Hershey, PA USA
来源：
JOURNAL OF BIOPHARMACEUTICAL STATISTICS | 2009年 / 19卷 / 01期
关键词：
Concordance; Linear mixed models; Longitudinal analysis; Variance components;
D O I：
10.1080/10543400802527890
中图分类号：
R9 [药学];
学科分类号：
1007 ;
摘要：
The concordance correlation coefficient (CCC) is an index that is commonly used to assess the degree of agreement between observers on measuring a continuous characteristic. Here, a CCC for longitudinal repeated measurements is developed through the appropriate specification of the intraclass correlation coefficient from a variance components linear mixed model. A case example and the results of a simulation study are provided.
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页码：90 / 105
页数：16
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