ROCSS: Stata module to calculate ROC curve and other statistics for any classification method

Nicola Orsini and Matteo Bottai ()
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Matteo Bottai: Dep. Epidemiology and Biostatistics, University of South Carolina

Statistical Software Components from Boston College Department of Economics

Abstract: rocss calculates sensitivity, specificity, cumulative area under the ROC curve and percentage of subjects correctly classified at user-specified probability cutoffs. Unlike lsens, rocss is not a post-estimation command and allows the user to set arbitrary probability cutoffs. However, if used on predicted probabilities derived by logistic, logit or probit, rocss represents a flexible alternative to lsens.

Language: Stata
Requires: Stata version 8
Keywords: ROC; classification; sensitivity; specificity (search for similar items in EconPapers)
Date: 2004-03-11, Revised 2004-04-19
Note: This module may be installed from within Stata by typing "ssc install rocss". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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http://fmwww.bc.edu/repec/bocode/r/rocss.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/rocss.hlp help file (text/plain)

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