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SAS Macros for Calculation of Population Attributable Fraction in a Cohort Study Design
Tekijät: Laaksonen MA, Virtala E, Knekt P, Oja H, Härkänen T
Kustantaja: JOURNAL STATISTICAL SOFTWARE
Julkaisuvuosi: 2011
Journal: Journal of Statistical Software
Tietokannassa oleva lehden nimi: JOURNAL OF STATISTICAL SOFTWARE
Lehden akronyymi: J STAT SOFTW
Vuosikerta: 43
Numero: 7
Aloitussivu: 1
Lopetussivu: 25
Sivujen määrä: 25
ISSN: 1548-7660
Tiivistelmä
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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