Computer programs for the concordance correlation coefficient

被引:62
作者
Crawford, Sara B.
Kosinski, Andrzej S.
Lin, Hung-Mo
Williamson, John M.
Barnhart, Huiman X.
机构
[1] Ctr Dis Control & Prevent, Div Parasit Dis, Atlanta, GA 30341 USA
[2] Duke Univ, Duke Clin Res Inst, Dept Biostat & Bioinformat, Durham, NC 27715 USA
[3] Penn State Univ Hosp, Coll Med, Dept Evaluat Sci, Hershey, PA 17033 USA
基金
美国国家卫生研究院;
关键词
agreement; bootstrap; concordance correlation coefficient; dependence; reproducibility;
D O I
10.1016/j.cmpb.2007.07.003
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The CCC macro is presented for computation of the concordance correlation coefficient (CCC), a common measure of reproducibility. The macro has been produced in both SAS and R, and a detailed presentation of the macro input and output for the SAS program is included. The macro provides estimation of three versions of the CCC, as presented by Lin [L.I.-K. Lin, A concordance correlation coefficient to evaluate reproducibility, Biometrics 45 (1989) 255-2681, Barnhart et al. [HX Barnhart, J.L. Haber, J.L. Song, Overall concordance correlation coefficient for evaluating agreement among multiple observers, Biometrics 58 (2002)1020-1027], and Williamson etal. U.M. Williamson, S.B. Crawford, H.M. Lin, Resampling dependent concordance correlation coefficients, J. Biopharm. Stat. 17 (2007) 685-6961. It also provides bootstrap confidence intervals for the CCC, as well as for the difference in CCCs for both independent and dependent samples. The macro is designed for balanced data only. Detailed explanation of the involved computations and macro variable definitions are provided in the text. Two biomedical examples are included to illustrate that the macro can be easily implemented. (c) 2007 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:62 / 74
页数:13
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