Department of Surgery, London Health Sciences Centre, Western University, Rm. C8-114, London, ON, N6A 5A5, Canada.
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Eur J Epidemiol. 2019 Mar;34(3):225-233. doi: 10.1007/s10654-019-00484-8. Epub 2019 Jan 23.
Causal inference for treatments with many versions requires a careful specification of the versions of treatment. Specifically, the existence of multiple relevant versions of treatment has implications for the selection of confounders. To illustrate this, we estimate the effect of organ transplantation using grafts from donors who died due to anoxic drug overdose, on recipient graft survival in the US. We describe how explicitly outlining the target trial (i.e. the hypothetical randomized trial which would answer the causal question of interest) to be emulated by an observational study analysis helps conceptualize treatment versions, guides selection of appropriate adjustment variables, and helps clarify the settings in which causal effects of compound treatments will be of value to decision-makers.
对于具有多种版本的治疗方法进行因果推断需要对治疗方法的版本进行仔细的说明。具体来说,治疗方法的多个相关版本的存在对混杂因素的选择有影响。为了说明这一点,我们使用因缺氧性药物过量而死亡的供体的移植物来估计器官移植对美国受者移植物存活率的影响。我们描述了如何通过明确描述目标试验(即模拟观察性研究分析的假想随机试验)来帮助概念化治疗方法版本,指导选择适当的调整变量,并帮助阐明复合治疗方法的因果效应对决策者有价值的环境。