Non-monotone transformation of biomarkers

Stat Methods Med Res. 2021 Feb;30(2):349-353. doi: 10.1177/0962280220950050.

Abstract

We comment here on a recent paper in this journal, on a non-monotone transformation of biomarkers aimed at improving diagnostic accuracy. We highlight that, in a binary classification problem, the proposed transformation finds its motivation in the Neyman-Pearson lemma, so that the underlying approach is very general and it is applicable to many parametric families, other than the normal one.

Keywords: Diagnostic medicine; Neyman–Pearson lemma; ROC analysis; classification accuracy.

Publication types

  • Letter
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers
  • Humans
  • ROC Curve*

Substances

  • Biomarkers