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

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  • Laaksonen, Maarit A.
  • Virtala, Esa
  • Knekt, Paul
  • Oja, Hannu
  • Härkänen, Tommi

Abstract

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.

Suggested Citation

  • Laaksonen, Maarit A. & Virtala, Esa & Knekt, Paul & Oja, Hannu & Härkänen, Tommi, 2011. "SAS Macros for Calculation of Population Attributable Fraction in a Cohort Study Design," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 43(i07).
  • Handle: RePEc:jss:jstsof:v:043:i07
    DOI: http://hdl.handle.net/10.18637/jss.v043.i07
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