This work overviews some developments on the estimation of the Receiver Operating
Characteristic (ROC) curve. Estimation methods in this area are constantly being developed …

In this review, we present an overview of the main aspects related to the statistical
evaluation of medical tests for diagnosis and prognosis. Measures of diagnostic …

This book presents a unified and up-to-date introduction to ROC methodologies, covering
both diagnosis (classification) and prediction. The emphasis is on the conceptual …

In this paper we review the literature on ROC curves in the presence of covariates. We
discuss the different approaches that have been proposed in the literature to define, model …

Objectives We present an illustrative application of methods that account for covariates in
receiver operating characteristic (ROC) curve analysis, using individual patient data on D …

Omics methods are widely used in basic biology and translational medicine research. More
and more omics data are collected to explain the impact of certain risk factors on clinical …

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 …

In the supplement we:(i) discuss further practical considerations and provide examples
about the need of adjusting for covariates,(ii) describe the details of the bootstrap scheme …

Bayesian methods for non-parametric quantile regression have been considered with
multiple continuous predictors ranging values in the unit interval. Two methods are …

Receiver operating characteristic (ROC) curves are widely used to measure the
discriminating power of medical tests and other classification procedures. In many practical …