及其样本平均处理效应 SATT
建立强可忽略处理分配条件下因果推断的结构回归模型，估计平均处理效应。
A structural regression model for causal inference is established to estimate the average treatment effect under strongly ignorable treatment assignment.
在可交换条件下，当响应变量为多维时，利用结构回归模型研究总体平均处理效应的估计。
In this paper, on the basis of structural regression models the estimation of the population-averaged treatment effects is given when the response variable is a multi-dimensional vector.
应用推荐