Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada.
Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada.
Stat Med. 2024 Sep 20;43(21):4148-4162. doi: 10.1002/sim.10172. Epub 2024 Jul 16.
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.
1988 年，DeLong 等人提出的一种用于比较相关接受者操作特征曲线下面积的非参数方法在实践中得到了广泛应用。然而，流行软件中实现的 DeLong 方法会悄悄地删除任何缺失值的个体，从而产生潜在无效和/或低效的结果。我们使用秩简化了 DeLong 算法，并通过使用混合模型方法对多变量数据进行扩展，从而使其适用于缺失数据。模拟结果证明了我们的程序对于随机缺失数据的有效性和效率。我们使用原始的 DeLong 数据在 SAS、Stata 和 R 中说明了我们提出的程序。
