A1 Refereed original research article in a scientific journal
SAS Macros for Calculation of Population Attributable Fraction in a Cohort Study Design
Authors: Laaksonen MA, Virtala E, Knekt P, Oja H, Härkänen T
Publisher: JOURNAL STATISTICAL SOFTWARE
Publication year: 2011
Journal: Journal of Statistical Software
Journal name in source: JOURNAL OF STATISTICAL SOFTWARE
Journal acronym: J STAT SOFTW
Volume: 43
Issue: 7
First page : 1
Last page: 25
Number of pages: 25
ISSN: 1548-7660
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.
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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