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SAS Macros for Calculation of Population Attributable Fraction in a Cohort Study Design


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  • Maarit A. Laaksonen
  • Esa Virtala
  • Paul Knekt
  • Hannu Oja
  • Tommi Härkänen
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    The population attributable fraction (PAF) is a useful measure for quantifying the impact of exposure to certain risk factors on a particular outcome at the population level. Recently, new model-based methods for the estimation of PAF and its confidence interval for different types of outcomes in a cohort study design have been proposed. In this paper, we introduce SAS macros implementing these methods and illustrate their application with a data example on the impact of different risk factors on type 2 diabetes incidence.

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    Bibliographic Info

    Article provided by American Statistical Association in its journal Journal of Statistical Software.

    Volume (Year): 43 ()
    Issue (Month): i07 ()

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    Handle: RePEc:jss:jstsof:43:i07

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