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. | ||
Page views:: 7783. Submitted: 2010-02-22. Published: 2011-07-25. |
|||
Paper: |
SAS Macros for Calculation of Population Attributable Fraction in a Cohort Study Design
Download PDF
(Downloads: 8654)
|
||
Supplements: |
| ||
DOI: |
10.18637/jss.v043.i07
|
![]() This work is licensed under the licenses 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. |