Abstract：
A nonparametric method proposed by DeLong et al in 1988 for comparing areas under correlated receiver operating characteristic curves is used widely in practice. However, the DeLong method as implemented in popular software quietly deletes individuals with any missing values, yielding potentially invalid and/or inefficient results. We simplify the DeLong algorithm using ranks and extend it to accommodate missing data by using a mixed model approach for multivariate data. Simulation results demonstrate the validity and efficiency of our procedure for data missing at random. We illustrate our proposed procedure in SAS, Stata, and R using the original DeLong data.
摘要：
DeLong等人于1988年提出的一种非参数方法，用于比较相关接收器工作特性曲线下的区域，在实践中得到了广泛使用。然而,在流行软件中实现的DeLong方法会悄悄地删除具有任何缺失值的个人，产生潜在无效和/或低效的结果。我们使用等级简化了DeLong算法，并通过使用多元数据的混合模型方法对其进行扩展以适应缺失的数据。仿真结果证明了我们方法对随机数据缺失的有效性和有效性。我们在SAS中说明了我们提出的程序，Stata,和R使用原始的DeLong数据。
