Efficient adjustment sets for time-dependent treatment effect estimation in nonparametric causal graphical model
非参数因果图模型中时变处理效应估计的高效调整集
Criteria for identifying optimal adjustment sets yielding consistent estimation with minimal asymptotic variance of average treatment effects in parametric and nonparametric models have recently been established. In a single treatment time point setting, it has been shown that the optimal adjustment set can be identified based on a causal directed acyclic graph alone. In a time-dependent treatment setting, previous work has established graphical rules to compare the…