Proposals given in the field of ROC curves focusing on their robust aspects and
contributions are considered. The motivation is the extended belief that ROC curves are …

We develop a functional proportional hazards mixture cure model with scalar and functional
covariates measured at the baseline. The mixture cure model, useful in studying populations …

Comparing the accuracy and the behaviour of different diagnostic procedures is one of the
main objectives of the Receiver Operating Characteristic (ROC) curve analysis. Along with …

This is a two faces paper. Firstly, it investigates diagnostic tests in situations when the
observed variables are functional, that is, diagnostic tests that use functional variables as …

Although increasingly used as a data resource for assembling cohorts, electronic health
records (EHRs) pose many analytic challenges. In particular, a patient's health status …

Combination of multiple biomarkers to improve diagnostic accuracy is meaningful for
practitioners and clinicians, and are attractive to lots of researchers. Nowadays, with …

Technical development over the last few decades has resulted in the emergence of complex
data, in many cases functional data (FD). This type of data can emerge in many medical …

Prior to using a diagnostic test in a routine clinical setting, the rigorous evaluation of its
diagnostic accuracy is essential. The receiver-operating characteristic curve is the measure …

We propose new summary measures of biomarker accuracy which can be used as
companions to existing diagnostic accuracy measures. Conceptually, our summary …

Discrimination surfaces are here introduced as a diagnostic tool for localizing brain regions
where discrimination between diseased and nondiseased participants is higher. To estimate …