Jeyaseelan L, Rao P S
Christian Medical College, Vellore, Tamil Nadu, India.
Natl Med J India. 1992 Nov-Dec;5(6):286-90.
Disagreements over clinical findings, diagnoses and management decisions are unavoidable in medicine. It is, however, necessary to ascertain whether they agree 'sufficiently'. Such investigations are often analysed inappropriately using Pearson's product-moment correlation coefficient. In this article, we discuss these as well as other methods, such as the kappa statistic, intra-class correlation coefficient and the graphical procedure to measure agreement using clinical examples.
在医学领域,关于临床发现、诊断和管理决策的分歧是不可避免的。然而,确定他们是否“充分”达成一致是很有必要的。这类调查常常不适当地使用皮尔逊积矩相关系数进行分析。在本文中,我们将结合临床实例讨论这些方法以及其他方法,如kappa统计量、组内相关系数和测量一致性的图形程序。