@article{JSSv043i07, title={SAS Macros for Calculation of Population Attributable Fraction in a Cohort Study Design}, volume={43}, url={https://www.jstatsoft.org/index.php/jss/article/view/v043i07}, doi={10.18637/jss.v043.i07}, 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.}, number={7}, journal={Journal of Statistical Software}, author={Laaksonen, Maarit A. and Virtala, Esa and Knekt, Paul and Oja, Hannu and Härkänen, Tommi}, year={2011}, pages={1–25} }