000116008 001__ 116008
000116008 005__ 20180122215934.0
000116008 0247_ $$2Other$$ast0020
000116008 037__ $$a199-2016-2442
000116008 037__ $$a199-2016-2972
000116008 041__ $$aen
000116008 245__ $$aComparative assessment of three common algorithms for estimating the variance of the area under the nonparametric receiver operating characteristic curve
000116008 260__ $$c2002
000116008 269__ $$a2002
000116008 300__ $$a10
000116008 336__ $$aJournal Article
000116008 520__ $$aThe area under the receiver operating characteristic (ROC) curve is often used to summarize and compare the discriminatory accuracy of a diagnostic test or modality, and to evaluate the predictive power of statistical models for binary outcomes. Parametric maximum likelihood methods for fitting of the ROC curve provide direct estimates of the area under the ROC curve and its variance. Nonparametric methods, on the other hand, provide estimates of the area under the ROC curve, but do not directly estimate its variance. Three algorithms for computing the variance for the area under the nonparametric ROC curve are commonly used, although ambiguity exists about their behavior under diverse study conditions. Using simulated data, we found similar asymptotic performance between these algorithms when the diagnostic test produces results on a continuous scale, but found notable differences in small samples, and when the diagnostic test yields results on a discrete diagnostic scale.
000116008 542__ $$fLicense granted by Lisa Gilmore (lgilmore@stata.com) on 2011-09-29T17:06:40Z (GMT):

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000116008 650__ $$aResearch Methods/ Statistical Methods
000116008 6531_ $$areceiver operating characteristic (ROC) curve
000116008 6531_ $$atrapezoidal rule
000116008 6531_ $$asensitivity
000116008 6531_ $$aspecificity
000116008 6531_ $$adiscriminatory accuracy
000116008 6531_ $$apredictive power
000116008 700__ $$aCleves, Mario A.
000116008 773__ $$d3rd Quarter 2002$$jVolume 02$$kNumber 3$$o289$$q280$$tStata Journal
000116008 8564_ $$s235409$$uhttp://ageconsearch.umn.edu/record/116008/files/sjart_st0020.pdf
000116008 887__ $$ahttp://purl.umn.edu/116008
000116008 909CO $$ooai:ageconsearch.umn.edu:116008$$pGLOBAL_SET
000116008 912__ $$nSubmitted by Lisa Gilmore (lgilmore@stata.com) on 2011-09-29T17:15:09Z
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  Previous issue date: 2002
000116008 982__ $$gStata Journal>Volume 2, Number 3, 3rd Quarter 2002
000116008 980__ $$a199