M-learner:A Flexible And Powerful Framework To Study Heterogeneous Treatment Effect In Mediation Model
M-learner:中介模型中异质处理效应的学习框架
We propose a novel method, termed the M-learner, for estimating heterogeneous indirect and total treatment effects and identifying relevant subgroups within a mediation framework. The procedure comprises four key steps. First, we compute individual-level conditional average indirect/total treatment effect Second, we construct a distance matrix based on pairwise differences. Third, we apply tSNE to project this matrix into a low-dimensional Euclidean space, followed by…