Literature DB >> 3753562

The use of relative operating characteristic (ROC) curves in test performance evaluation.

J R Beck, E K Shultz.   

Abstract

Relative (or receiver) operating characteristic (ROC) curves are a graphical representation of the relationship between sensitivity and specificity of a laboratory test over all possible diagnostic cutoff values. Laboratory medicine has been slow to adopt the use of ROC curves for the analysis of diagnostic test performance. In this tutorial, we discuss the advantages and limitations of the ROC curve for clinical decision making in laboratory medicine. We demonstrate the construction and statistical uses of ROC analysis, review its published applications in clinical pathology, and comment on its role in the decision analytic framework in laboratory medicine.

Mesh:

Year:  1986        PMID: 3753562

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  85 in total

1.  Combining geometric and probabilistic reasoning for computer-based penetrating-trauma assessment.

Authors:  Omolola I Ogunyemi; John R Clarke; Nachman Ash; Bonnie L Webber
Journal:  J Am Med Inform Assoc       Date:  2002 May-Jun       Impact factor: 4.497

2.  Autoreactive T cell responses show proinflammatory polarization in diabetes but a regulatory phenotype in health.

Authors:  Sefina Arif; Timothy I Tree; Thomas P Astill; Jennifer M Tremble; Amanda J Bishop; Colin M Dayan; Bart O Roep; Mark Peakman
Journal:  J Clin Invest       Date:  2004-02       Impact factor: 14.808

3.  Regionalized GC content of template DNA as a predictor of PCR success.

Authors:  Yair Benita; Ronald S Oosting; Martin C Lok; Michael J Wise; Ian Humphery-Smith
Journal:  Nucleic Acids Res       Date:  2003-08-15       Impact factor: 16.971

4.  Receiver operating characteristic curves for comparison of serial neutrophil band forms and C reactive protein in neonates at risk of infection.

Authors:  G A Russell; A Smyth; R W Cooke
Journal:  Arch Dis Child       Date:  1992-07       Impact factor: 3.791

5.  Computer-assisted analysis of transrectal ultrasound images.

Authors:  B L Craine; G Oldani; J R Engel; R F Whitney; D Wright; E R Craine
Journal:  J Digit Imaging       Date:  1990-11       Impact factor: 4.056

6.  Use of HbA(1c) in screening for Cuban-Americans with undiagnosed type 2 diabetes.

Authors:  Fatma G Huffman; Joel C Exebio; Gustavo G Zarini; Cristobal Exebio
Journal:  J Immigr Minor Health       Date:  2011-06

7.  Evaluating the discriminatory power of a computer-based system for assessing penetrating trauma on retrospective multi-center data.

Authors:  Michael E Matheny; Omolola I Ogunyemi; Phillip L Rice; John R Clarke
Journal:  AMIA Annu Symp Proc       Date:  2005

8.  Analysis of the impact of digital tomosynthesis on the radiological investigation of patients with suspected pulmonary lesions on chest radiography.

Authors:  Emilio Quaia; Elisa Baratella; Stefano Cernic; Arianna Lorusso; Federica Casagrande; Vincenzo Cioffi; Maria Assunta Cova
Journal:  Eur Radiol       Date:  2012-04-27       Impact factor: 5.315

9.  Comparison of contrast-enhanced ultrasonography versus baseline ultrasound and contrast-enhanced computed tomography in metastatic disease of the liver: diagnostic performance and confidence.

Authors:  Emilio Quaia; Mirko D'Onofrio; Alessandro Palumbo; Stefania Rossi; Stefano Bruni; Maria Cova
Journal:  Eur Radiol       Date:  2006-03-22       Impact factor: 5.315

10.  Are enzymatic tests good indicators of coronary reperfusion?

Authors:  H A Bosker; A van der Laarse; V M Cats; A V Bruschke
Journal:  Br Heart J       Date:  1992-02
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