How to Measure the Diagnostic Accuracy of Noninvasive Liver Fibrosis Indices: The Area Under the ROC Curve Revisited | Zendy

Jérôme Lambert | Zendy; Philippe Halfon | Zendy; Guillaume Pénaranda | Zendy; Pierre Bédossa | Zendy; P. Cacoub | Zendy; Fabrice Carrat | Zendy

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How to Measure the Diagnostic Accuracy of Noninvasive Liver Fibrosis Indices: The Area Under the ROC Curve Revisited

Author(s) -

Jérôme Lambert,

Philippe Halfon,

Guillaume Pénaranda,

Pierre Bédossa,

P. Cacoub,

Fabrice Carrat

Publication year - 2008

Publication title -

clinical chemistry

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.705

H-Index - 218

eISSN - 1530-8561

pISSN - 0009-9147

DOI - 10.1373/clinchem.2007.097923

Subject(s) - gold standard (test) , receiver operating characteristic , ordinal scale , statistics , measure (data warehouse) , medicine , fibrosis , statistic , population , standard error , mathematics , pathology , computer science , data mining , environmental health

The area under the ROC curve (AUC) is widely used to measure the diagnostic accuracy of noninvasive fibrosis indices. However, use of the AUC assumes a binary gold standard, whereas fibrosis staging is based on an ordinal scale and also depends on the distribution of fibrosis stages in the study sample. We explored other fibrosis staging accuracy measures designed for ordinal gold standards, the C-statistic and the Obuchowski measure.

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