Model-assisted inference for treatment effects using regularized calibrated estimation with high-dimensional data

30 January 2018

Papers citing "Model-assisted inference for treatment effects using regularized calibrated estimation with high-dimensional data"

7 / 7 papers shown

Title
Optimal Treatment Regimes for Proximal Causal Learning Tao Shen Yifan Cui CML 30 3 0 19 Dec 2022
Nonparametric augmented probability weighting with sparsity Xin He Xiaojun Mao Zhonglei Wang 23 0 0 28 Sep 2022
Proximal Causal Inference for Marginal Counterfactual Survival Curves Andrew Ying Yifan Cui E. T. Tchetgen 34 10 0 27 Apr 2022
Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects L. Han Jue Hou Kelly Cho R. Duan Tianxi Cai CML FedML CVBM 26 32 0 17 Dec 2021
Semiparametric proximal causal inference Yifan Cui Hongming Pu Xu Shi Wang Miao E. T. Tchetgen Tchetgen 21 100 0 17 Nov 2020
$A unifying approach for doubly-robust $\ell_1$ regularized estimation of causal contrasts$ A unifying approach for doubly-robust $\ell_1$ regularized estimation of causal contrasts Ezequiel Smucler A. Rotnitzky J. M. Robins CML 13 76 0 07 Apr 2019
Locally Robust Semiparametric Estimation Victor Chernozhukov J. Escanciano Hidehiko Ichimura Whitney Newey J. M. Robins 17 203 0 29 Jul 2016