7 citations · 27 across the 6 of their papers we have counts for
6 papers
Proximal Causal Inference without Uniqueness Assumptions
Jeffrey Zhang, Wei Li, Wang Miao +1
We consider identification and inference about a counterfactual outcome mean when there is unmeasured confounding using tools from proximal causal inference (Miao et al. [2018], Tc…
Doubly Robust Calibration of Prediction Sets under Covariate Shift
Yachong Yang, Arun Kumar Kuchibhotla, Eric Tchetgen Tchetgen
Conformal prediction has received tremendous attention in recent years and has offered new solutions to problems in missing data and causal inference; yet these advances have not l…
GENIUS-MAWII: For Robust Mendelian Randomization with Many Weak Invalid Instruments
Ting Ye, Zhonghua Liu, Baoluo Sun +1
Mendelian randomization (MR) has become a popular approach to study causal effects by using genetic variants as instrumental variables. We propose a new MR method, GENIUS-MAWII, wh…
On a necessary and sufficient identification condition of optimal treatment regimes with an instrumental variable
Yifan Cui, Eric Tchetgen Tchetgen
Unmeasured confounding is a threat to causal inference and individualized decision making. Similar to Cui and Tchetgen Tchetgen (2020); Qiu et al. (2020); Han (2020a), we consider…
Instrumental Variable Estimation of Marginal Structural Mean Models for Time-Varying Treatment
Haben Michael, Yifan Cui, Scott Lorch +1
Robins 1997 introduced marginal structural models (MSMs), a general class of counterfactual models for the joint effects of time-varying treatment regimes in complex longitudinal s…
Technical Report: Higher Order Influence Functions and Minimax Estimation of Nonlinear Functionals
James Robins, Lingling Li, Eric Tchetgen Tchetgen +1
Robins et al, 2008, published a theory of higher order influence functions for inference in semi- and non-parametric models. This paper is a comprehensive manuscript from which Rob…