Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
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Authors: Maarit A. Laaksonen, Esa Virtala, Paul Knekt, Hannu Oja, Tommi Härkänen
Title: SAS Macros for Calculation of Population Attributable Fraction in a Cohort Study Design
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.

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Paper: SAS Macros for Calculation of Population Attributable Fraction in a Cohort Study Design     Download PDF (Downloads: 8878)
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paf.zip: SAS source code (including replication code and data) Download (Downloads: 949; 384KB)
DOI: 10.18637/jss.v043.i07

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.