Literature DB >> 11575490

Parametric three-way receiver operating characteristic surface analysis using mathematica.

P S Heckerling1.   

Abstract

Three-way receiver operating characteristic (ROC) surface analysis involves the calculation of a volume under an ROC surface (VUS), which is a measure of discriminatory accuracy of 2 diagnostic tests for 3 diseases. Nonparametric methods for calculating VUS and its standard error have been developed. The author presents the code for roc3D, a Mathematica computer program for performing parametric ROC surface analysis. roc3D calculates VUS assuming a multinormal distribution of test results in the 3 diseased populations, provides user-specified pointwise confidence limits for VUS, and displays a 3-dimensional plot of the ROC surface. Limitations of the roc3D program are discussed.

Entities:  

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Year:  2001        PMID： 11575490     DOI： 10.1177/0272989X0102100507

Source DB:  PubMed          Journal:  Med Decis Making        ISSN： 0272-989X            Impact factor:   2.583


  13 in total

1.  Parametric and non-parametric confidence intervals of the probability of identifying early disease stage given sensitivity to full disease and specificity with three ordinal diagnostic groups.

Authors:  Tuochuan Dong; Lili Tian; Alan Hutson; Chengjie Xiong
Journal:  Stat Med       Date:  2011-12-05       Impact factor: 2.373

2.  Three-class ROC analysis--toward a general decision theoretic solution.

Authors:  Xin He; Brandon D Gallas; Eric C Frey
Journal:  IEEE Trans Med Imaging       Date:  2009-10-30       Impact factor: 10.048

3.  A regression approach to ROC surface, with applications to Alzheimer's disease.

Authors:  Jialiang Li; Andrew Xiaohua Zhou; Jason P Fine
Journal:  Sci China Math       Date:  2012-08       Impact factor: 1.331

4.  Estimating diagnostic accuracy for clustered ordinal diagnostic groups in the three-class case-Application to the early diagnosis of Alzheimer disease.

Authors:  Chengjie Xiong; Jingqin Luo; Ling Chen; Feng Gao; Jingxia Liu; Guoqiao Wang; Randall Bateman; John C Morris
Journal:  Stat Methods Med Res       Date:  2017-11-28       Impact factor: 3.021

5.  Confidence Interval Estimation for Sensitivity to the Early Diseased Stage Based on Empirical Likelihood.

Authors:  Tuochuan Dong; Lili Tian
Journal:  J Biopharm Stat       Date:  2014-11-05       Impact factor: 1.051

6.  Application of three-class ROC analysis to task-based image quality assessment of simultaneous dual-isotope myocardial perfusion SPECT (MPS).

Authors:  Xin He; Xiyun Song; Eric C Frey
Journal:  IEEE Trans Med Imaging       Date:  2008-11       Impact factor: 10.048

7.  Exact confidence interval estimation for the difference in diagnostic accuracy with three ordinal diagnostic groups.

Authors:  Lili Tian; Chengjie Xiong; Chin-Ying Lai; Albert Vexler
Journal:  J Stat Plan Inference       Date:  2010-07-20       Impact factor: 1.111

8.  The validity of three-class Hotelling trace (3-HT) in describing three-class task performance: comparison of three-class volume under ROC surface (VUS) and 3-HT.

Authors:  Xin He; Eric C Frey
Journal:  IEEE Trans Med Imaging       Date:  2009-02       Impact factor: 10.048

9.  Confidence interval estimation of the difference between two sensitivities to the early disease stage.

Authors:  Tuochuan Dong; Le Kang; Alan Hutson; Chengjie Xiong; Lili Tian
Journal:  Biom J       Date:  2013-11-22       Impact factor: 2.207

10.  Assessing multiple-group diagnostic problems with multi-dimensional receiver operating characteristic surfaces: application to proton MR Spectroscopy (MRS) in HIV-related neurological injury.

Authors:  Constantin T Yiannoutsos; Christos T Nakas; Bradford A Navia
Journal:  Neuroimage       Date:  2007-10-12       Impact factor: 6.556
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