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BCII: Stata module to to estimate the number needed to treat (NNT) and confidence intervals for patients improving, or ‘benefiting’ (either improvements gained or deteriorations prevented), in a randomised controlled trial

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

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Abstract

Estimation of absolute risk reduction and number needed to treat for the difference between the proportion of improving patients in an intervention group and the proportion of improving patients a control group of a clinical trial. The package uses a method that is considered to have superior coverage properties to the conventional Wald method for calculating confidence intervals (Newcombe's Method 10); this may be important when reciprocally transforming absolute risk reductions to obtain numbers needed to treat (NNTs) as described by Bender, 2001. The program also estimates NNTs for benefit; the difference between the proportion of improving patients minus the proportion of deteriorating patients in the intervention group and the proportion of improving patients minus the proportion of deteriorating patients in the control group. Newcombe’s method 10 has been modified to incorporate these extra variance terms as described by Froud et al, 2009.

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Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S457053.

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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:s457053

Note: This module may be installed from within Stata by typing "ssc install bcii". Windows users should not attempt to download these files with a web browser.
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Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
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Web page: http://fmwww.bc.edu/EC/
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Related research
Keywords: number needed to treat; NNT; Wilson scores;

Statistics
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This page was last updated on 2009-11-14.

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