English, Article edition: 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

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Bookmark: http://trove.nla.gov.au/version/58174
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  • code
Language
  • English

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Title
  • 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
Author
  • Robert Froud
Physical Description
  • code
Notes
  • 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.
  • number needed to treat, NNT, Wilson scores
  • RePEc:boc:bocode:s457053
Language
  • English
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