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stat.ME2020
Nonparametric causal mediation analysis for stochastic interventional (in)direct effects
Nima S. Hejazi, Kara E. Rudolph, Mark J. van der Laan +1
Causal mediation analysis has historically been limited in two important ways: (i) a focus has traditionally been placed on binary treatments and static interventions, and (ii) dir…
stat.ME2020
Non-parametric causal effects based on longitudinal modified treatment policies
Iván Díaz, Nicholas Williams, Katherine L. Hoffman +1
Most causal inference methods consider counterfactual variables under interventions that set the treatment deterministically. With continuous or multi-valued treatments or exposure…