Author:
Galea Sandro,Hernán Miguel A
Abstract
Abstract
Social epidemiology is concerned with the health effects of forces that are “above the skin.” Although causal inference should be a key goal for social epidemiology, social epidemiology and quantitative causal inference have been seemingly at odds over the years. This does not have to be the case and, in fact, both fields stand to gain through a closer engagement of social epidemiology with formal causal inference approaches. We discuss the misconceptions that have led to an uneasy relationship between these 2 fields, propose a way forward that illustrates how the 2 areas can come together to inform causal questions, and discuss the implications of this approach. We argue that quantitative causal inference in social epidemiology is an opportunity to do better science that matters, a win-win for both fields.
Funder
National Institutes of Health
Publisher
Oxford University Press (OUP)
Reference16 articles.
1. Commentary: causal inference for social exposures;Kaufman;Annu Rev Public Health,2019
2. Causal inference challenges in social epidemiology: bias, specificity, and imagination;Glymour;Soc Sci Med,2016
3. The tale wagged by the DAG: broadening the scope of causal inference and explanation for epidemiology;Krieger;Int J Epidemiol,2016
4. Causal inference in public health;Glass;Annu Rev Public Health,2013
5. Commentary: counterfactual causation and streetlamps: what is to be done?;Robins;Int J Epidemiol,2017
Cited by
28 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献