Abstract:
:Receiver operating characteristic (ROC) analysis is widely used to evaluate the performance of diagnostic tests with continuous or ordinal responses. A popular study design for assessing the accuracy of diagnostic tests involves multiple readers interpreting multiple diagnostic test results, called the multi-reader, multi-test design. Although several different approaches to analyzing data from this design exist, few methods have discussed the sample size and power issues. In this article, we develop a power formula to compare the correlated areas under the ROC curves (AUC) in a multi-reader, multi-test design. We present a nonparametric approach to estimate and compare the correlated AUCs by extending DeLong et al.'s (1988, Biometrics 44, 837-845) approach. A power formula is derived based on the asymptotic distribution of the nonparametric AUCs. Simulation studies are conducted to demonstrate the performance of the proposed power formula and an example is provided to illustrate the proposed procedure.
journal_name
Biometricsjournal_title
Biometricsauthors
Kim E,Zhang Z,Wang Y,Zeng Ddoi
10.1111/biom.12240subject
Has Abstractpub_date
2014-12-01 00:00:00pages
1033-41issue
4eissn
0006-341Xissn
1541-0420journal_volume
70pub_type
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