ROCMIC: Stata module to estimate minimally important change (MIC) thresholds for continuous clinical outcome measures using ROC curves

Robert James Froud ()

Statistical Software Components from Boston College Department of Economics

Abstract: Estimation of minimally important change (MIC) thresholds, using two different methods. The first is the cut-point corresponding to a 45 degree tangent line intersection--mathematically equivalent to the point at which the sensitivity and specificity are closest together; and the second is the cut-point corresponding to the smallest residual sum of sensitivity and specificity. The program also calculates standard error and confidence intervals when used in conjunction with the bootstrap command.

Language: Stata
Requires: Stata version 10.1
Keywords: minimally important change; MIC; ROC curves (search for similar items in EconPapers)
Date: 2009-06-02
Note: This module may be installed from within Stata by typing "ssc install rocmic". Windows users should not attempt to download these files with a web browser.

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/r/rocmic.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/rocmic.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/f/fastmic.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/f/fastmic.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/r/rocmicd.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/rocmicd.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/f/fastmicd.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/f/fastmicd.sthlp help file (text/plain)

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Persistent link: http://EconPapers.repec.org/RePEc:boc:bocode:s457052

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