Caveats and pitfalls of ROC analysis in clinical microarray research (and how to avoid them)

Diagnostic Accuracy and Receiver-Operating Characteristics Curve Analysis in Surgical Research and Decision Making

(2010) Kjetil Søreide et al.   ANNALS OF SURGERY

Small-sample precision of ROC-related estimates

(2010) B. Hanczar et al.   BIOINFORMATICS

A CROC stronger than ROC: measuring, visualizing and optimizing early retrieval

(2010) S. J. Swamidass et al.   BIOINFORMATICS

Measuring classifier performance: a coherent alternative to the area under the ROC curve

(2009) David J. Hand   MACHINE LEARNING

StAR: a simple tool for the statistical comparison of ROC curves

(2008) Ismael A Vergara et al.   BMC BIOINFORMATICS

Gene expression variation to predict 10-year survival in lymph-node-negative breast cancer

(2008) Elin Karlsson et al.   BMC CANCER

Statistical Issues in Translational Cancer Research

(2008) S. L. George   CLINICAL CANCER RESEARCH

Receiver-operating characteristic curve analysis in diagnostic, prognostic and predictive biomarker research

(2008) K. Soreide   JOURNAL OF CLINICAL PATHOLOGY

Managing bias in ROC curves

(2008) Robert D. Clark et al.   JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN

A critical analysis of variants of the AUC

(2008) Stijn Vanderlooy et al.   MACHINE LEARNING

An Integrated Approach to the Prediction of Chemotherapeutic Response in Patients with Breast Cancer

(2008) Kelly H. Salter et al.   PLoS One

A genomic approach to colon cancer risk stratification yields biologic insights into therapeutic opportunities

(2008) K. S. Garman et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

AUC: a misleading measure of the performance of predictive distribution models

(2007) Jorge M. Lobo et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY