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

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

Journal of Statistical Software, 2011, vol. 043, issue 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.

Date: 2011-07-25
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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:043:i07

DOI: 10.18637/jss.v043.i07

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