RRML - Evaluation of Diagnostic Tests: Receiver Operating Characteristic Curves

Main page
News
RJLabM Credits
Archive
- Current issue
- Ahead of print
- List of published issues
- 2024
  - Nr.1/2024
- 2023
  - Nr.4/2023
  - Nr.3/2023
  - Nr.2/2023
  - Nr.1/2023
  - Supplement 1/2023
- 2022
  - Nr.4/2022
  - Nr.3/2022
  - Nr.2/2022
  - Nr.1/2022
  - Supplement 1/2022
- 2021
  - Nr.4/2021
  - Nr.3/2021
  - Nr.2/2021
  - Nr.1/2021
- 2020
  - Nr.4/2020
  - Nr.3/2020
  - Nr.2/2020
  - Nr.1/2020
  - Supplement 1/2020
- 2019
  - Nr.4/2019
  - Nr.3/2019
  - Nr.2/2019
  - Nr.1/2019
  - Supplement 1/2019
- 2018
  - Nr.4/2018
  - Nr.3/2018
  - Nr.2/2018
  - Nr.1/2018
  - Supplement 1/2018
  - Supplement 2/2018
  - Supplement 3/2018
- 2017
  - Nr.4/2017
  - Nr.3/2017
  - Nr.2/2017
  - Nr.1/2017
  - Supplement 1/2017
- 2016
  - Nr.4/2016
  - Nr.3/2016
  - Nr.2/2016
  - Nr.1/2016
  - Supplement 1/2016
- 2015
  - Nr.4/2015
  - Nr.3/2015
  - Nr.2/2015
  - Nr.1/2015
  - Supplement 1/2015
- 2014
  - Nr.4/2014
  - Nr.3/2014
  - Nr.2/2014
  - Nr.1/2014
  - Supplement 1/2014
- 2013
  - Nr.4/2013
  - Nr.3/2013
  - Nr.2/2013
  - Nr.1/2013
  - Supplement 1/2013
- 2012
  - Nr.4/2012
  - Nr.3/2012
  - Nr.2/2012
  - Nr.1/2012
  - Supplement 1/2012
- 2011
  - Nr.4/2011
  - Nr.3/2011
  - Nr.2/2011
  - Nr.1/2011
  - Supplement 1/2011
- 2010
  - Nr.4/2010
  - Nr.3/2010
  - Nr.2/2010
  - Nr.1/2010
  - Supplement 1/2010
- 2009
  - Nr.4/2009
  - Nr.3/2009
  - Nr.2/2009
  - Nr.1/2009
  - Supplement 1/2009
- 2008
  - Nr.4/2008
  - Nr.3/2008
  - Nr.2/2008
  - Nr.1/2008
  - Supplement 1/2008
- 2007
  - Nr.4/2007
  - Nr.3/2007
  - Nr.2/2007
  - Nr.1/2007
- 2006
  - Nr.4/2006
  - Nr.3/2006
  - Nr.2/2006
  - Nr.1/2006
- 2005
  - Nr.1/2005
Instructions for authors
Online applications
- Send an article
- Online payments
Editorial
About us
Links

ISSN online: 2284-5623

ISSN-L: 1841-6624

Rejection rate (2020): 75%

Journal Metrics

Impact Factor 0.5
Five Year Impact Factor 0.5
JCI 0.12

Top 10 downloaded articles - April 2024 -

A comprehensive review of Prof...	24
Recomandarea comună EFLM-COLA...	13
Monocyte to high-density lipop...	9
Anti-thyroid peroxidase (TPO) ...	9
Understanding the key differen...	7
Understanding the pathogenesis...	7
Function of the S1P pathway in...	6
Predictive value of expression...	5
The importance of tumor marker...	4
Romanian Review of Laboratory ...	4

Concept, Design & Programming
Dr. Adrian Man

Nr. 19(3)/2011

Evaluation of Diagnostic Tests: Receiver Operating Characteristic Curves

Cristian Baicus, Adriana Hristea, Anda Baicus

Abstract:

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.

Download full text PDF
(353 KB)

Baicus C, Hristea A, Baicus A. Evaluation of Diagnostic Tests: Receiver Operating Characteristic Curves. Rev Romana Med Lab. 2011;19(3):303-6