ROC analysis for markers with mass at zero

Enrique F. Schisterman, Benjamin Reiser, David Faraggi

Research output: Contribution to journalArticlepeer-review

Abstract

The receiver operating characteristic (ROC) curve and in particular the area under the curve (AUC) is commonly used to examine the discriminatory ability of diagnostic markers. Certain markers while basically continuous and non-negative have a positive probability mass (spike) at the value zero. We discuss a flexible modelling approach to such data and contrast it with the standard non-parametric approach. We show how the modelling approach can be extended to take account of the effect of explanatory variables. We motivate this problem and illustrate the modelling approach using data on the coronary calcium score, measured by electron beam tomography, which is a marker for atherosclerosis.

Original languageEnglish (US)
Pages (from-to)623-638
Number of pages16
JournalStatistics in Medicine
Volume25
Issue number4
DOIs
StatePublished - Feb 28 2006
Externally publishedYes

Keywords

  • Box-Cox power transformations
  • Coronary calcium score
  • Diagnostic markers
  • Mann-Whitney statistic
  • Mixture model

ASJC Scopus subject areas

  • Epidemiology

Fingerprint

Dive into the research topics of 'ROC analysis for markers with mass at zero'. Together they form a unique fingerprint.

Cite this