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help for episensrri
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Basic sensitivity analysis for binary unmeasured confounders

    episensrri #arr [ , pexp(numlist) punexp(numlist) rrcd(#) rout
              format(%fmt) ]

    where

    #arr is the apparent relative risk

Description

    episensrri provides basic sensitivity analysis of the apparent or
          observed relative risks according to specified plausible
          values of the prevalence of the unmeasured confounding
          among exposed and unexposed, and the relative risks between
          confounder and disease. It is an immediate command, see
          help immed.

Options

    pexp(numlist) specifies the prevalence of the unmeasured confounder among
        the exposed subjects.

    punexp(numlist) specifies the prevalence of the unmeasured confounder
        among the unexposed subjects.

    rrcd(#) specifies the relative risk between the unmeasured confounder and
        disease.

    rout identifies (rule-out approach) the relative risk between the
        unmeasured confounder and disease (rrcd(#)) such that the apparent
        relative risk (#arr) would move to the null (1).  Range for rrcd(#)
        is 0 to 50.

    format(%fmt) specifies the display format for presenting numbers.
        format(%3.2f) is the default; see help format.

Examples

     episensrri 1.76 , pexp(0.7) punexp(0.5) rrcd(5)
     episensrri 1.76 , pexp(0.4(.1)0.7) punexp(0.3(.1)0.5) rrcd(5)
     episensrri 1.76 , pexp(0.4(.1)0.7) punexp(0.3(.1)0.5) rrcd(10)
     episensrri 1.86 , pexp(0.6) punexp(.2) rrcd(1.5) ro

References

    Schneeweiss S., 2006, Sensitivity analysis and external adjustment for
        unmeasured confounders in epidemiologic database studies of
        therapeutics.  Pharmacoepidemiol Drug Saf, 15(5):291-303.

Authors

    Nicola Orsini, Division of Nutritional Epidemiology, Institute of
        Environmental Medicine, Karolinska Institutet, Sweden

    Rino Bellocco, Department of Medical Epidemiology and Biostatistics,
        Karolinska Institutet, Sweden

    Sander Greenland, Department of Epidemiology, UCLA School of Public
        Health, USA

Support

    http://nicolaorsini.altervista.org
    nicola.orsini@ki.se

Also see

    Manual:  [ST] epitab

    Online:  epitab, episens, episensi (if installed)