Crawford Sara B, Kosinski Andrzej S, Lin Hung-Mo, Williamson John M, Barnhart Huiman X
Division of Parasitic Diseases, Centers for Disease Control and Prevention, 4770 Buford Highway NE (MS-F22), Atlanta, GA 30341, United States.
Comput Methods Programs Biomed. 2007 Oct;88(1):62-74. doi: 10.1016/j.cmpb.2007.07.003. Epub 2007 Aug 20.
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) 255-268], Barnhart et al. [H.X. Barnhart, J.L. Haber, J.L. Song, Overall concordance correlation coefficient for evaluating agreement among multiple observers, Biometrics 58 (2002) 1020-1027], and Williamson et al. [J.M. Williamson, S.B. Crawford, H.M. Lin, Resampling dependent concordance correlation coefficients, J. Biopharm. Stat. 17 (2007) 685-696]. 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.
CCC宏用于计算一致性相关系数（CCC），这是一种常用的可重复性度量。该宏已用SAS和R语言编写，并包含了SAS程序的宏输入和输出的详细说明。该宏提供了由Lin [L.I.-K. Lin，用于评估可重复性的一致性相关系数，《生物统计学》45（1989）255-268]、Barnhart等人[H.X. Barnhart，J.L. Haber，J.L. Song，用于评估多个观察者之间一致性的总体一致性相关系数，《生物统计学》58（2002）1020-1027]以及Williamson等人[J.M. Williamson，S.B. Crawford，H.M. Lin，重采样相关的一致性相关系数，《生物制药统计学杂志》17（2007）685-696]提出的三种版本的CCC估计值。它还提供了CCC的自助置信区间，以及独立样本和相关样本的CCC差异的自助置信区间。该宏仅针对平衡数据设计。文中提供了所涉及计算和宏变量定义的详细解释。包含两个生物医学示例以说明该宏可以轻松实现。
