McNeil B J, Hanley J A
Med Decis Making. 1984;4(2):137-50. doi: 10.1177/0272989X8400400203.
In this article we review published and some unpublished work in statistical analyses of ROC curves. We describe both single and joint indices and indicate the approaches that have been taken to consider between-reader variations and correlations, within-reader variations, and variations and correlations between cases. We then discuss in detail a single index, the TP ratio at a fixed FP ratio (designated TPFP), or the FP ratio at a fixed TP ratio (designated FPTP). We show how to calculate confidence limits around any point on the curve; we further show, using the conventional Dorfman and Alf program and the jackknifing technique, how to calculate these confidence limits for multiple curves derived from the same sample of patients.
在本文中,我们回顾了已发表的以及一些未发表的关于ROC曲线统计分析的工作。我们描述了单一指标和联合指标,并指出了用于考虑读者间差异与相关性、读者内差异以及病例间差异与相关性的方法。然后,我们详细讨论了一个单一指标,即在固定假阳性率下的真阳性率(记为TPFP),或在固定真阳性率下的假阳性率(记为FPTP)。我们展示了如何计算曲线上任意一点的置信区间;我们还进一步展示了,使用传统的 Dorfman 和 Alf 程序以及刀切法,如何计算从同一组患者样本得出的多条曲线的这些置信区间。