Combining dependent tests to compare the diagnostic accuracies--a non-parametric approach.
In this paper, we propose a non-parametric approach for comparing diagnostic accuracies in multi-reader receiver operating characteristic (ROC) studies. The approach constructs a test from each reader by extending the conventional non-parametric method and then combines all the individual test statistics to draw an overall conclusion on the relative accuracies of different diagnostic tests. The method can handle both continuous and ordinal data. Compared to the existing non-parametric methods, the method is robust and effectively deals with the possible heterogeneity among readers. It can also be applied to the analysis of correlated ROC studies. The method is applied to a real example and its finite sample performance is examined through simulation studies.
Yang
Yuqing
Y
Department of Biostatistics, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY 10032, USA. yy2019@columbia.edu
Jin
Zhezhen
Z
D000704:Analysis of Variance; D003198:Computer Simulation; D016001:Confidence Intervals; D003627:Data Interpretation, Statistical; D003954:Diagnostic Services / Q000592:standards / Q000706:statistics & numerical data*; D006801:Humans; D015233:Models, Statistical; D012372:ROC Curve; D016032:Randomized Controlled Trials as Topic / Q000379:methods*; D018709:Statistics, Nonparametric