101 citations · 108 across the 12 of their papers we have counts for
8 papers · 1 filter
Quasi Instrumental Variable Methods for Stable Hidden Confounding and Binary Outcome
Zhonghua Liu, Baoluo Sun, Ting Ye +2
Instrumental variable (IV) methods are central to causal inference from observational data, particularly when a randomized experiment is not feasible. However, of the three convent…
Multiply Robust Conformal Risk Control with Coarsened Data
Manit Paul, Arun Kumar Kuchibhotla, Eric J. Tchetgen Tchetgen
Conformal Prediction (CP) has recently received a tremendous amount of interest, leading to a wide range of new theoretical and methodological results for predictive inference with…
Partial Identification of Causal Effects for Endogenous Continuous Treatments
Abhinandan Dalal, Eric J. Tchetgen Tchetgen
No unmeasured confounding is a common assumption when reasoning about counterfactual outcomes, but such an assumption may not be plausible in observational studies. Sensitivity ana…
On a Debiased and Semiparametric Efficient Changes-in-Changes Estimator
Jinghao Sun, Eric J. Tchetgen Tchetgen
We present a novel extension of the influential changes-in-changes (CiC) framework of Athey and Imbens (2006) for estimating the average treatment effect on the treated (ATT) and d…
Adaptive Proximal Causal Inference with Some Invalid Proxies
Prabrisha Rakshit, Xu Shi, Eric Tchetgen Tchetgen
Proximal causal inference (PCI) is a recently proposed framework to identify and estimate the causal effect of an exposure on an outcome in the presence of hidden confounders, usin…
Auto-Doubly Robust Estimation of Causal Effects on a Network
Jizhou Liu, Dake Zhang, Eric J. Tchetgen Tchetgen
This paper develops new methods for causal inference in observational studies on a single large network of interconnected units, addressing two key challenges: long-range dependenc…