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.
CITATION STYLE
Laaksonen, M. A., Virtala, E., Knekt, P., Oja, H., & Härkänen, T. (2011). SAS macros for calculation of population attributable fraction in a cohort study design. Journal of Statistical Software, 43(7), 1–25. https://doi.org/10.18637/jss.v043.i07
Mendeley helps you to discover research relevant for your work.