| Literature DB >> 34347331 |
Jürgen Rehm1,2,3,4,5,6,7,8, Robin C Purshouse9.
Abstract
In a recent commentary, Allamani asked how one can establish causality in epidemiological research, and specifically about causality as it relates to alcohol control policy. Epidemiology customarily uses a sufficient-component cause model, where a sufficient cause for an outcome is determined by a set of minimal conditions and events that inevitably produce the stated outcome. While this model is theoretically clear, its operationalisation often involves probabilistic elements. Recent advances in agent-based modelling may improve operationalisation. The implications for alcohol control policy from this model are straightforward: the so-called alcohol-attributable fraction denotes the cases of morbidity or mortality which would not have happened in the absence of alcohol use.Entities:
Keywords: alcohol; alcohol control policy; causality; probabilistic
Mesh:
Year: 2021 PMID: 34347331 PMCID: PMC8963927 DOI: 10.1111/dar.13371
Source DB: PubMed Journal: Drug Alcohol Rev ISSN: 0959-5236