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

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

Author Info

Robert Froud () (Queen Mary, University of London)

Additional information is available for the following registered author(s):

Robert James Froud

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.

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File URL: http://fmwww.bc.edu/repec/bocode/r/rocmic.ado
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File URL: http://fmwww.bc.edu/repec/bocode/f/fastmic.ado
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Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S457052.

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Programming language: Stata
Requires: Stata version 10.1
Date of creation: 02 Jun 2009
Date of revision:
Handle: RePEc:boc:bocode:s457052

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.
Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
Email:
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC

Order Information:
Web: http://repec.org/docs/ssc.php

For technical questions regarding this item, or to correct its listing, contact: (Christopher F Baum).

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This page was last updated on 2009-11-10.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.