Title |
Partitioning the population attributable fraction for a sequential chain of effects
|
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Published in |
Epidemiologic Perspectives & Innovations, October 2008
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DOI | 10.1186/1742-5573-5-5 |
Pubmed ID | |
Authors |
Craig A Mason, Shihfen Tu |
Abstract |
While the population attributable fraction (PAF) provides potentially valuable information regarding the community-level effect of risk factors, significant limitations exist with current strategies for estimating a PAF in multiple risk factor models. These strategies can result in paradoxical or ambiguous measures of effect, or require unrealistic assumptions regarding variables in the model. A method is proposed in which an overall or total PAF across multiple risk factors is partitioned into components based upon a sequential ordering of effects. This method is applied to several hypothetical data sets in order to demonstrate its application and interpretation in diverse analytic situations. |
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