Related Experiment Video
Updated: Jul 19, 2025

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation
Published on: September 4, 2017
The walking man approach to interpreting the receiver operating characteristic curve and area under the receiver
Michael A Kohn1, Thomas B Newman1
1Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Abstract:
An accuracy study of a test that produces a wide range of results will often present a receiver operating characteristic (ROC) curve and report the area under the ROC curve (AUROC). The AUROC is a summary measure of how well the test discriminates between those with the condition or disease in question and those without it. A test that perfectly separates individuals with and without the condition has an AUROC of 1.0, and a test that doesn't separate them at all has an AUROC of 0.5. The AUROC is also the probability that a random individual with the condition will have a more abnormal test result than a random individual without the condition. In this Key Concepts article, we present our "walking man" approach to understanding ROC curves and the AUROC.
More Related Videos
Related Concept Videos
Receiver Operating Characteristic Plot
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
On...
Dose-Response Relationship: Overview
Fundamental Mathematical Principles in Pharmacokinetics: Calculus and Graphs
On the other hand, integral calculus focuses on...
Kaplan-Meier Approach
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...

