Literature DB >> 10803724

ROC surface: a generalization of ROC curve analysis.

H Yang1, D Carlin.   

Abstract

Receiver operating characteristic (ROC) curve analysis is widely used in biomedical research to assess the performance of diagnostic tests. Much of the work has been directed at developing accurate indices to describe ROC curves and appropriate statistics to test differences between them. The analysis, however, is largely built on the assumption that the test results are dichotomous. We generalize the ROC curve analysis to allow for tests to have more than two outcomes. The generalized ROC curve constitutes a surface. We propose to use the volume under the surface to measure the accuracy of a diagnostic test.

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Year:  2000        PMID: 10803724     DOI: 10.1081/BIP-100101021

Source DB:  PubMed          Journal:  J Biopharm Stat        ISSN: 1054-3406            Impact factor:   1.051


  7 in total

1.  Do serum C-reactive protein and interleukin-6 predict kidney scarring after urinary tract infection?

Authors:  Luis Miguel Rodríguez; Belén Robles; José Manuel Marugán; Angeles Suárez; José María García Ruiz de Morales
Journal:  Indian J Pediatr       Date:  2013-05-11       Impact factor: 1.967

2.  Urinary interleukin-6 is useful in distinguishing between upper and lower urinary tract infections.

Authors:  Luis Miguel Rodríguez; Belén Robles; José Manuel Marugán; Angeles Suárez; Fernando Santos
Journal:  Pediatr Nephrol       Date:  2007-11-27       Impact factor: 3.714

3.  The Optimal Linear Combination of Multiple Predictors Under the Generalized Linear Models.

Authors:  Hua Jin; Ying Lu
Journal:  Stat Probab Lett       Date:  2009-11-15       Impact factor: 0.870

4.  A simple method to combine multiple molecular biomarkers for dichotomous diagnostic classification.

Authors:  Manju R Mamtani; Tushar P Thakre; Mrunal Y Kalkonde; Manik A Amin; Yogeshwar V Kalkonde; Amit P Amin; Hemant Kulkarni
Journal:  BMC Bioinformatics       Date:  2006-10-10       Impact factor: 3.169

5.  The performance of hemoglobin A1c against fasting plasma glucose and oral glucose tolerance test in detecting prediabetes and diabetes.

Authors:  Jale Karakaya; Safak Akin; Ergun Karagaoglu; Alper Gurlek
Journal:  J Res Med Sci       Date:  2014-11       Impact factor: 1.852

6.  Grid multi-category response logistic models.

Authors:  Yuan Wu; Xiaoqian Jiang; Shuang Wang; Wenchao Jiang; Pinghao Li; Lucila Ohno-Machado
Journal:  BMC Med Inform Decis Mak       Date:  2015-02-18       Impact factor: 2.796

7.  The combination of urinary IL - 6 and renal biometry as useful diagnostic tools to differentiate acute pyelonephritis from lower urinary tract infection.

Authors:  Sherif Azab; Mostafa Zakaria; Mona Raafat; Hadeel Seief
Journal:  Int Braz J Urol       Date:  2016 Jul-Aug       Impact factor: 1.541

  7 in total

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