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A SIMPLE METHOD FOR COMPARING CORRELATED ROC CURVES USING INCOMPLETE DATA

โœ Scribed by XIAO H. ZHOU; CONSTANTINE A. GATSONIS

Publisher
John Wiley and Sons
Year
1996
Tongue
English
Weight
391 KB
Volume
15
Category
Article
ISSN
0277-6715

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โœฆ Synopsis

Comparative studies of the accuracy of diagnostic procedures often use a paired design to gain in efficiency. Standard methods for analysing data from paired designs require complete observations. In many studies, however, one of the test results may be missing for some patients. In this paper, we propose a simple correction to the existing complete data methods to compare areas under ROC curves derived from paired designs. The approach makes it possible to use the entire available data set in carrying out the comparison, provided that the probability of having both tests does not depend on the test results. As an illustration, we apply our method to the analysis of data from prospective comparison of MRI and ultrasound in detecting periprostatic invasion.

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โœ W. Albers; M.F. Teulings ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 410 KB

It seems fair that the usual sample correlation coefficient should allow improvement when additional samples from the marginals are available. However, some intuitive attempts fail badly. Using control variates, a simple method is presented which asymptotically achieves the optimal improvement.