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

Author

Listed:
  • Nicola Orsini

    (Karolinska Institutet)

  • Matteo Bottai

    (Dep. Epidemiology and Biostatistics, University of South Carolina)

Programming Language

Stata

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.

Suggested Citation

  • Nicola Orsini & Matteo Bottai, 2004. "ROCSS: Stata module to calculate ROC curve and other statistics for any classification method," Statistical Software Components S438101, Boston College Department of Economics, revised 19 Apr 2004.
    • Handle: RePEc:boc:bocode:s438101
    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.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/r/rocss.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/r/rocss.hlp
    File Function: help file
    Download Restriction: no
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