Estimation and comparison of receiver operating characteristic curves
Abstract.
The receiver operating characteristic (ROC) curve displays the capacity of a
marker or diagnostic test to discriminate between two groups of subjects,
cases versus controls. We present a comprehensive suite of Stata commands
for performing ROC analysis. Nonparametric, semiparametric, and parametric
estimators are calculated. Comparisons between curves are based on the area
or partial area under the ROC curve. Alternatively, pointwise comparisons
between ROC curves or inverse ROC curves can be made. We describe options to
adjust these analyses for covariates and to perform ROC regression in a
companion article. We use a unified framework by representing the ROC curve
as the distribution of the marker in cases where we have standardized it to
the control reference distribution.
View all articles by these authors:
Margaret S. Pepe, Gary Longton, Holly Janes
View all articles with these keywords:
roccurve, comproc, receiver operating characteristic curve
Download citation: BibTeX RIS
Download citation and abstract: BibTeX RIS
|
