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
Robert Froud ()
Statistical Software Components from Boston College Department of Economics
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.
Requires: Stata version 10.1
Keywords: number needed to treat; NNT; Wilson scores (search for similar items in EconPapers)
Note: This module should be installed from within Stata by typing "ssc install bcii". 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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http://fmwww.bc.edu/repec/bocode/b/bcii.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/b/bcii.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/b/bcib.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/b/bcib.sthlp help file (text/plain)
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Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s457053
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