Abstract:
:The receiver operating characteristic (ROC) curve is a prominent tool for characterizing the accuracy of a continuous diagnostic test. To account for factors that might influence the test accuracy, various ROC regression methods have been proposed. However, as in any regression analysis, when the assumed models do not fit the data well, these methods may render invalid and misleading results. To date, practical model-checking techniques suitable for validating existing ROC regression models are not yet available. In this article, we develop cumulative residual-based procedures to graphically and numerically assess the goodness of fit for some commonly used ROC regression models, and show how specific components of these models can be examined within this framework. We derive asymptotic null distributions for the residual processes and discuss resampling procedures to approximate these distributions in practice. We illustrate our methods with a dataset from the cystic fibrosis registry.
journal_name
Biometricsjournal_title
Biometricsauthors
Cai T,Zheng Ydoi
10.1111/j.1541-0420.2006.00620.xsubject
Has Abstractpub_date
2007-03-01 00:00:00pages
152-63issue
1eissn
0006-341Xissn
1541-0420pii
BIOM620journal_volume
63pub_type
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