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Simple moment-based inferences of generalized concordance correlation

机译：广义一致性相关性的基于矩的简单推论

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Department of Preventive Medicine, State University of New York at Stony Brook, Stony Brook,NY 11794-8036, USA;Department of Preventive Medicine, State University of New York at Stony Brook, Stony Brook,NY 11794-8036, USA;Department of Preventive Medicine, State University of New York at Stony Brook, Stony Brook,NY 11794-8036, USA;Department of Urology, Wayne State University School of Medicine, Detroit,MI 48201, USA;%We proposed two simple moment-based procedures, one with (GCCC1) and one without (GCCC2) normality assumptions, to generalize the inference of concordance correlation coefficient for the evaluation of agreement among multiple observers for measurements on a continuous scale. A modified Fisher's Z-transformation was adapted to further improve the inference. We compared the proposed methods with U-statistic-based inference approach. Simulation analysis showed desirable statistical properties of the simplified approach GCCC1, in terms of coverage probabilities and coverage balance, especially for small samples. GCCC2, which is distribution-free, behaved comparably with the [/-statistic-based procedure, but had a more intuitive and explicit variance estimator. The utility of these approaches were illustrated using two clinical data examples.
机译：纽约州立大学石溪分校预防医学系，美国石溪，纽约州11794-8036；纽约州立大学石溪分校预防医学系，纽约州11794-8036，美国美国纽约州立大学石溪分校，预防医学，纽约州石溪，纽约11794-8036；美国底特律韦恩州立大学医学院泌尿外科，密西根州48201；％我们提出了两种基于矩的简单程序，一种具有（GCCC1）正态性假设，另一种具有（GCCC2）正态性假设，以概括一致性相关系数的推论，以评估多个观察员之间在连续规模上的一致性。修改后的Fisher的Z变换适用于进一步改善推断。我们将提出的方法与基于U统计的推理方法进行了比较。仿真分析表明，就覆盖率和覆盖率平衡而言，简化方法GCCC1具有理想的统计特性，尤其是对于小样本而言。 GCCC2是无分布的，其行为与基于[/ -statistic]的过程类似，但具有更直观和明确的方差估计量。使用两个临床数据示例说明了这些方法的实用性。

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