heckroccurve: ROC curves for selected samples
Jonathan A. Cook () and
Ashish Rajbhandari ()
Additional contact information
Jonathan A. Cook: Public Company Accounting Oversight Board
Stata Journal, 2018, vol. 18, issue 1, 174-183
Abstract:
Receiver operating characteristic (ROC) curves can be misleading when they are constructed with selected samples. In this article, we describe heckroccurve, which implements a recently developed procedure for plotting ROC curves with selected samples. The command estimates the area under the ROC curve and a graphical display of the curve. A variety of plot options are available, including the ability to add confidence bands to the plot.
Keywords: heckroccurve; receiver operating characteristic curves; ROC curves; classifier evaluation; sample-selection bias (search for similar items in EconPapers)
Date: 2018
Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj18-1/st0518/
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0518 link to article purchase
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:tsj:stataj:v:18:y:2018:i:1:p:174-183
Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html
Access Statistics for this article
Stata Journal is currently edited by Nicholas J. Cox and Stephen P. Jenkins
More articles in Stata Journal from StataCorp LLC
Bibliographic data for series maintained by Christopher F. Baum () and Lisa Gilmore ().