Literature DB >> 16158406

Combining dependent tests to compare the diagnostic accuracies--a non-parametric approach.

Yuqing Yang1, Zhezhen Jin.   

Abstract

In this paper, we propose a non-parametric approach for comparing diagnostic accuracies in multi-reader receiver operating characteristic (ROC) studies. The approach constructs a test from each reader by extending the conventional non-parametric method and then combines all the individual test statistics to draw an overall conclusion on the relative accuracies of different diagnostic tests. The method can handle both continuous and ordinal data. Compared to the existing non-parametric methods, the method is robust and effectively deals with the possible heterogeneity among readers. It can also be applied to the analysis of correlated ROC studies. The method is applied to a real example and its finite sample performance is examined through simulation studies. Copyright 2005 John Wiley & Sons, Ltd.

Mesh:

Year:  2006        PMID: 16158406     DOI: 10.1002/sim.2338

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  3 in total

1.  Nonparametric ROC summary statistics for correlated diagnostic marker data.

Authors:  Liansheng Larry Tang; Aiyi Liu; Zhen Chen; Enrique F Schisterman; Bo Zhang; Zhuang Miao
Journal:  Stat Med       Date:  2012-10-11       Impact factor: 2.373

2.  Approximating the risk score for disease diagnosis using MARS.

Authors:  Binbing Yu
Journal:  J Appl Stat       Date:  2009-07-07       Impact factor: 1.404

3.  Predicting virologic failure in an HIV clinic.

Authors:  Gregory K Robbins; Kristin L Johnson; Yuchiao Chang; Katherine E Jackson; Paul E Sax; James B Meigs; Kenneth A Freedberg
Journal:  Clin Infect Dis       Date:  2010-03-01       Impact factor: 9.079

  3 in total

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