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

Robert Froud ()
Authors registered in the RePEc Author Service: Gary Abel

Statistical Software Components from Boston College Department of Economics

Abstract: ROCMIC estimates minimally important change (MIC) thresholds using three different methods. The first is the cut-point corresponding to a 45 degree tangent line intersection; this is mathematically equivalent to the point at which the sensitivity and specificity are closest together. The second is the cut-point corresponding to the smallest sum of 1-sensitivity and 1-specificity; this methodology has been proposed by researchers from the EMGO Institute . The third is the cut-point corresponding to the smallest sum of squares of 1-sensitivity and 1-specificity in accordance with Pythagoras' theorem, as has been recommended by the package authors.

Language: Stata
Requires: Stata version 10.1
Keywords: minimally important change; MIC; ROC curves (search for similar items in EconPapers)
Date: 2009-06-02, Revised 2014-10-24
Note: This module should be installed from within Stata by typing "ssc install rocmic". 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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