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Can I read Combining best evidence: A novel method to calculate the alcohol-attributable fraction and its variance for injury mortality on EtoBox?

Combining best evidence: A novel method to calculate the alcohol-attributable fraction and its variance for injury mortality by Benjamin J Taylor; Kevin D Shield; Jürgen T Rehm is a Medicine article available to read on EtoBox.

What is Combining best evidence: A novel method to calculate the alcohol-attributable fraction and its variance for injury mortality about?

## Background The alcohol-attributable fraction for injury mortality is defined as the proportion of fatal injury that would disappear if consumption went to zero. Estimating this fraction has previously been based on a simplistic view of drinking and associated risk. This paper develops a new way to calculate the alcohol-attributable fraction for injury based on different dimensions of drinking, mortality data, experimental data, survey research, new risk scenarios, and by incorporating different distributions of consumption within populations. For this analysis, the Canadian population in 2005 was used as the reference population. ## Methods Binge drinking and average daily consumption were modeled separately with respect to the calculation of the AAF. The acute consumption risk was calculated with a probability-based method that accounted for both the number of binge drinking occasions and the amount of alcohol consumed per occasion. The average daily consumption was computed based on the prevalence of daily drinking at various levels. These were both combined to get an overall estimate. 3 sensitivity analyses were performed using different alcohol consumption parameters to test

Who reads Combining best evidence: A novel method to calculate the alcohol-attributable fraction and its variance for injury mortality?

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Author
Benjamin J Taylor; Kevin D Shield; Jürgen T Rehm
Publisher
BioMed Central; Springer (Biomed Central Ltd.); London: BioMed Central, 2001-; Springer Science and Business Media LLC; Society for Mining, Metallurgy and Exploration Inc. (ISSN 1471-2458)
Published
2011
Language
EN
Field
Medicine (Health Sciences)

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