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Maximum likelihood ratio tests for comparing the discriminatory ability of biomarkers subject to limit of detection

  • Albert Vexler
  • , Aiyi Liu
  • , Ekaterina Eliseeva
  • , Enrique F. Schisterman
  • National Institutes of Health
  • The University of Chicago

Research output: Contribution to journalArticlepeer-review

45 Scopus citations

Abstract

In this article, we consider comparing the areas under correlated receiver operating characteristic (ROC) curves of diagnostic biomarkers whose measurements are subject to a limit of detection (LOD), a source of measurement error from instruments' sensitivity in epidemiological studies. We propose and examine the likelihood ratio tests with operating characteristics that are easily obtained by classical maximum likelihood methodology.

Original languageEnglish
Pages (from-to)895-903
Number of pages9
JournalBiometrics
Volume64
Issue number3
DOIs
StatePublished - Sep 2008

Keywords

  • Area under curve (AUC)
  • Censoring
  • Hypothesis testing
  • Limit of detection (LOD)
  • Maximum likelihood
  • Receiver operating characteristics (ROC)

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