Developments in ROC surface analysis and assessment of diagnostic markers in three-class classification problems

CT Nakas - REVSTAT-Statistical Journal, 2014 - revstat.ine.pt
This article reviews current state of the art of ROC surface analysis and illustrates its use
through an application on a pancreatic cancer diagnostic marker. Receiver Operating …

[图书][B] ROC analysis for classification and prediction in practice

CT Nakas, LE Bantis, CA Gatsonis - 2023 - taylorfrancis.com
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 …

Bayesian nonparametric ROC regression modeling

V Inacio de Carvalho, A Jara, T E. Hanson… - 2013 - projecteuclid.org
The receiver operating characteristic (ROC) curve is the most widely used measure for
evaluating the discriminatory performance of a continuous biomarker. Incorporating …

[HTML][HTML] DiagTest3Grp: an R package for analyzing diagnostic tests with three ordinal groups

J Luo, C Xiong - Journal of Statistical Software, 2012 - ncbi.nlm.nih.gov
Medical researchers endeavor to identify potentially useful biomarkers to develop marker-
based screening assays for disease diagnosis and prevention. Useful summary measures …

Nonparametric Bayesian covariate-adjusted estimation of the Youden index

V Inácio de Carvalho, M de Carvalho, AJ Branscum - Biometrics, 2017 - academic.oup.com
A novel nonparametric regression model is developed for evaluating the covariate-specific
accuracy of a continuous biological marker. Accurately screening diseased from …

Flexible regression models for ROC and risk analysis, with or without a gold standard

AJ Branscum, WO Johnson, TE Hanson… - Statistics in …, 2015 - Wiley Online Library
A novel semiparametric regression model is developed for evaluating the covariate‐specific
accuracy of a continuous medical test or biomarker. Ideally, studies designed to estimate or …

Cumulative ROC curves for discriminating three or more ordinal outcomes with cutpoints on a shared continuous measurement scale

BR DeCastro - Plos one, 2019 - journals.plos.org
Cumulative receiver operator characteristic (ROC) curve analysis extends classic ROC
curve analysis to discriminate three or more ordinal outcome levels on a shared continuous …

Three-group ROC analysis: A nonparametric predictive approach

T Coolen-Maturi, FF Elkhafifi, FPA Coolen - Computational Statistics & Data …, 2014 - Elsevier
Measuring the accuracy of diagnostic tests is crucial in many application areas, in particular
medicine and health care. The receiver operating characteristic (ROC) surface is a useful …

A unified Bayesian semiparametric approach to assess discrimination ability in survival analysis

L Zhao, D Feng, G Chen, JMG Taylor - Biometrics, 2016 - academic.oup.com
The discriminatory ability of a marker for censored survival data is routinely assessed by the
time-dependent ROC curve and the c-index. The time-dependent ROC curve evaluates the …

A Bayesian semiparametric approach to correlated ROC surfaces with stochastic order constraints

Z Chen, BS Hwang - Biometrics, 2019 - academic.oup.com
In application of diagnostic accuracy, it is possible that a priori information may exist
regarding the test score distributions, either between different disease populations for a …