Furthermore, the FIC improves the accuracy of the estimated AUC compared with other criteria.In medical studies, the receiver operating characteristic (ROC) curve is a tool of extensive use to analyze the discrimination capability of a diagnostic variable. (eds) Computational Science and Its Applications -- ICCSA 2015.
Incorporating covariates in the analysis can potentially enhance information gathered from the biomarker, as its discriminatory ability may depend on these.
In this paper we propose a dependent Bayesian nonparametric model for conditional ROC estimation.
Oftentimes, factors other than disease affect marker observations.
For example, levels of prostate-specific antigen (PSA), a biomarker widely used to screen men for prostate cancer, tend to increase with age.
Individuals who are disease-free earlier may develop the disease later due to longer study follow-up, and also their marker value may change from baseline during follow-up.