Literature DB >> 17726716

Comparison of ROC umbrella volumes with an application to the assessment of lung cancer diagnostic markers.

Todd A Alonzo1, Christos T Nakas.   

Abstract

Receiver operating characteristic (ROC) analysis is widely used to assess the ability of diagnostic markers to correctly classify into one of two disease classes. ROC surfaces and umbrella surfaces generalize the utility of ROC analysis when there are three disease classes. Identification of lung cancer diagnostic markers is an active area of research since prognosis for those diagnosed with lung cancer is so poor and there is not an accurate method for early detection of lung cancer. A study conducted for the assessment of DNA methylation markers motivated the comparison of ROC umbrella surfaces which is developed in this article using U-statistics and bootstrap methodology. ((c) 2007 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim).

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17726716     DOI: 10.1002/bimj.200610363

Source DB:  PubMed          Journal:  Biom J        ISSN: 0323-3847            Impact factor:   2.207


  2 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.  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

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.