101 citations · 184 across the 40 of their papers we have counts for
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Causal Inference with Hidden Mediators
AmirEmad Ghassami, Alan Yang, Ilya Shpitser +1
Proximal causal inference was recently proposed as a framework to identify causal effects from observational data in the presence of hidden confounders for which proxies are availa…
Semiparametric Efficient G-estimation with Invalid Instrumental Variables
Baoluo Sun, Zhonghua Liu, Eric Tchetgen Tchetgen
The instrumental variable method is widely used in the health and social sciences for identification and estimation of causal effects in the presence of potentially unmeasured conf…
Theory for identification and Inference with Synthetic Controls: A Proximal Causal Inference Framework
Xu Shi, Kendrick Li, Wang Miao +2
Synthetic control (SC) methods are commonly used to estimate the treatment effect on a single treated unit in panel data settings. An SC is a weighted average of control units buil…
The Proximal ID Algorithm
Ilya Shpitser, Zach Wood-Doughty, Eric J. Tchetgen Tchetgen
Unobserved confounding is a fundamental obstacle to establishing valid causal conclusions from observational data. Two complementary types of approaches have been developed to addr…
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference
AmirEmad Ghassami, Andrew Ying, Ilya Shpitser +1
Robins et al. (2008) introduced a class of influence functions (IFs) which could be used to obtain doubly robust moment functions for the corresponding parameters. However, that cl…