Indian Pediatrics

, Volume 48, Issue 4, pp 277–287

Receiver operating characteristic (ROC) curve for medical researchers

Authors

    • Department of Biostatistics and Medical InformaticsUniversity College of Medical Sciences
    • Department of Biostatistics and Medical InformaticsUniversity College of Medical Sciences
  • Abhaya Indrayan
    • Department of Biostatistics and Medical InformaticsUniversity College of Medical Sciences
Perspective

DOI: 10.1007/s13312-011-0055-4

Cite this article as:
Kumar, R. & Indrayan, A. Indian Pediatr (2011) 48: 277. doi:10.1007/s13312-011-0055-4

Abstract

Sensitivity and specificity are two components that measure the inherent validity of a diagnostic test for dichotomous outcomes against a gold standard. Receiver operating characteristic (ROC) curve is the plot that depicts the trade-off between the sensitivity and (1-specificity) across a series of cut-off points when the diagnostic test is continuous or on ordinal scale (minimum 5 categories). This is an effective method for assessing the performance of a diagnostic test. The aim of this article is to provide basic conceptual framework and interpretation of ROC analysis to help medical researchers to use it effectively. ROC curve and its important components like area under the curve, sensitivity at specified specificity and vice versa, and partial area under the curve are discussed. Various other issues such as choice between parametric and non-parametric methods, biases that affect the performance of a diagnostic test, sample size for estimating the sensitivity, specificity, and area under ROC curve, and details of commonly used softwares in ROC analysis are also presented.

Key words

Sensitivity Specificity Receiver operating characteristic curve Sample size Optimal cut-off point Partial area under the curve

Copyright information

© Indian Academy of Pediatrics 2011