title: A comparison of two diagnostic performance measures: signal-to-noise ratio versus partial area under receiver operating characteristic curve.
abstract: OBJECTIVE
  This paper aims to compare two diagnostic performance measures, i.e. signal-to-noise ratio (S/N ratio) and partial area under receiver operating characteristic curves (pAUC). It proposes the use of S/N ratio rather than pAUC for establishing optimal cut-off point for diagnostic biomarkers.
  
  
  METHODS
  This paper discusses the properties, uses, advantages and shortcomings of the two performance measures, namely the partial area under receiver operating characteristic curve (pAUC) and Taguchi's signal-to-noise (S/N) ratio. The benefits of S/N ratio have been illustrated in a sample of four biomarkers, each having five cut-off points. The S/N ratio is compared to the pAUC index. The SAS software is employed to calculate pAUC and AUC.
  
  
  RESULTS
  This paper shows that S/N ratio can be used as a measure of diagnostic accuracy. The cut-off point with the highest S/N ratio is the optimal cut-off point for the biomarker. The proposed method has the advantages of being easier, more practical and less costly than that of pAUC.
  
  
  CONCLUSIONS
  This paper includes implications for the development of a more practical, equally powerful and less costly means of measuring clinical accuracy thereby reducing the costs and risks resulting from wrong selection of cut-off point can be decreased.
  
  
  CONCLUSIONS
  This paper supports suggestions in the recent literature to replace pAUC with a new, more meaningful index.
authors.affiliation: Department of Healthcare Management, Uskudar University, Istanbul, Turkey.
authors.forename: Mehmet Tolga
authors.initials: MT
authors.lastname: Taner
authors.forename: Bulent
authors.initials: B
authors.lastname: Sezen
authors.forename: Kamal
authors.initials: K
authors.lastname: Atwat
mesh_terms: D000465:Algorithms; D015415:Biomarkers; D003937:Diagnosis, Differential; D006801:Humans; D012372:ROC Curve; D059629:Signal-To-Noise Ratio; D012984:Software
chemical_list: D015415:Biomarkers