Graphical criteria for the identification of marginal causal effects in continuous-time survival and event-history analyses
连续时间生存与事件史分析中边际因果效应识别的图准则
We consider continuous-time survival or more general event-history settings, where the aim is to infer the causal effect of a time-dependent treatment process. This is formalised as the effect on the outcome event of a (possibly hypothetical) intervention on the intensity of the treatment process, i.e. a stochastic intervention. To establish whether valid inference about the interventional situation can be drawn from typical observational, i.e. non-experimental, data we…