RRML - Evaluation of Diagnostic Tests: Receiver Operating Characteristic Curves

ISSN online: 2284-5623

ISSN-L: 1841-6624

Rejection rate (2020): 75%

Română English

Journal Metrics

Impact Factor 0.493
Five Year Impact Factor 0.531
SNIP 0.373
JCI 0.17

Advanced search

Top 10 downloaded articles
- January 2023 -
Romanian Review of Laboratory ... 16
Setting up an own laboratory p... 13
High DNAJA4 expression correla... 12
Downregulation of hsa-miR-4328... 11
Normality assessment, few para... 11
Invasive aspergillosis in hema... 10
Making the most out of profici... 9
Vitamin K and bone metabolism... 8
Oxidative stress and metabolic... 8
Spontaneous atrial fibrillatio... 7

Log in

Concept, Design & Programming
Dr. Adrian Man

Nr. 19(3)/2011

Evaluation of Diagnostic Tests: Receiver Operating Characteristic Curves

Cristian Baicus, Adriana Hristea, Anda Baicus


Receiver operator characteristic (ROC) curves are used in order to assess the accuracy of diagnostic tests whose results are continuous numeric variables. This curve is a graph of the sensitivity (or true positive rate) on the Y-axis as a function of 1-specificity (the false positive rate) on the Y-axis. ROC curves have multiple utilizations: 1. The comparison of more tests for the same disease (bigger the area under the ROC curve (AUROC), better the test; an AUROC of 1 means a perfect test, while an AUROC of 0.5 means a useless test; 2. The choice of a cut-off point (in case of a test with a big AUROC, one can choose the closest point to the upper left corner of the graph, in order to have both a good sensitivity and a good specificity); 3. It shows how, for the same diagnostic test, there is a negotiation between sensitivity and specificity so that, for a cut-off with a very good sensitivity it will be a weak specificity and the reverse.

  PDF Download full text PDF
(353 KB)
How to cite
Baicus C, Hristea A, Baicus A. Evaluation of Diagnostic Tests: Receiver Operating Characteristic Curves. Rev Romana Med Lab. 2011;19(3):303-6