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Biom J. 2006 Aug;48(5):745-57.

Comparing the areas under two correlated ROC curves: parametric and non-parametric approaches.

Author information

1
Department of Statistics, University of Haifa 31905, Israel.

Abstract

In order to compare the discriminatory effectiveness of two diagnostic markers the equality of the areas under the respective Receiver Operating Characteristic Curves is commonly tested. A non-parametric test based on the Mann-Whitney statistic is generally used. Weiand et al. (1989) present a parametric test based on normal distributional assumptions. We extend this test using the Box-Cox power family of transformations to non-normal situations. These three test procedures are compared in terms of significance level and power by means of a large simulation study. Overall we find that transforming to normality is to be preferred. An example of two pancreatic cancer serum biomarkers is used to illustrate the methodology.

PMID:
17094340
DOI:
10.1002/bimj.200610223
[Indexed for MEDLINE]

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