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Confidence intervals for adjusted NNEs

A simulation study
      In a recent article, Bender and Blettner [
      • Bender R.
      • Blettner M.
      Calculating the “number needed to be exposed” with adjustment for confounding variables in epidemiological studies.
      ] proposed a method to calculate the number needed to be exposed (NNE) with adjustment for confounding factors in epidemiologic studies within the framework of multiple logistic regression. Confidence intervals for the adjusted NNEs were derived by means of the multivariate delta method [
      • Bishop Y.M.M.
      • Fienberg S.E.
      • Holland P.W.
      ] and a SAS/IML® [
      • SAS
      ] program was offered for calculations [
      • Bender R.
      • Blettner M.
      Calculating the “number needed to be exposed” with adjustment for confounding variables in epidemiological studies.
      ]. In this article, we complement the work on adjusted NNEs by investigating the adequacy of these approximate confidence intervals via simulations.
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      References

        • Bender R.
        • Blettner M.
        Calculating the “number needed to be exposed” with adjustment for confounding variables in epidemiological studies.
        J Clin Epidemiol. 2002; 55: 525-530
        • Bishop Y.M.M.
        • Fienberg S.E.
        • Holland P.W.
        Discrete multivariate analysis. MIT Press;, Cambridge, MA1975
        • SAS
        SAS/IML® software. 1st ed. SAS Institute Inc.;, Cary, NC1990
        • Altman D.G.
        • Machin D.
        • Bryant T.M.
        • Gardner M.J.
        Statistics with confidence. BMJ Books;, London2000