文章基本信息

标题：SAS Macros for Calculation of Population Attributable Fraction in a Cohort Study Design
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作者：Maarit A. Laaksonen ; Esa Virtala ; Paul Knekt 等
期刊名称：Journal of Statistical Software
印刷版ISSN：1548-7660
电子版ISSN：1548-7660
出版年度：2011
卷号：43
期号：1
页码：1-25
语种：English
出版社：University of California, Los Angeles
摘要：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.