Biometrics Research, Merck Research Lab., Rahway, NJ, U.S.A.
Stat Med. 2014 Feb 10;33(3):514-6. doi: 10.1002/sim.5931. Epub 2013 Jul 31.
Lin's concordance correlation coefficient (CCC) is a very popular scaled index of agreement used in applied statistics. To obtain a confidence interval (CI) for the estimate of CCC, jackknifing was proposed and shown to perform well in simulation as well as in applications. However, a theoretical proof of the validity of the jackknife CI for the CCC has not been presented yet. In this note, we establish a sufficient condition for using the jackknife method to construct the CI for the CCC.
林的一致性相关系数（CCC）是应用统计学中常用的一种比例一致性指标。为了获得 CCC 估计值的置信区间（CI），提出了刀切法，并在模拟和应用中都表现出良好的性能。然而，尚未给出 CCC 的刀切法 CI 的有效性的理论证明。在本注记中，我们为使用刀切法构建 CCC 的 CI 建立了一个充分条件。
