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

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

30 January 2018
Z. Tan
ArXivPDFHTML

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

6 / 6 papers shown
Title
Optimal Treatment Regimes for Proximal Causal Learning
Optimal Treatment Regimes for Proximal Causal Learning
Tao Shen
Yifan Cui
CML
30
3
0
19 Dec 2022
Nonparametric augmented probability weighting with sparsity
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
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
Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects
L. Han
Jue Hou
Kelly Cho
R. Duan
Tianxi Cai
CML
FedML
CVBM
21
31
0
17 Dec 2021
Semiparametric proximal causal inference
Semiparametric proximal causal inference
Yifan Cui
Hongming Pu
Xu Shi
Wang Miao
E. T. Tchetgen Tchetgen
21
100
0
17 Nov 2020
Locally Robust Semiparametric Estimation
Locally Robust Semiparametric Estimation
Victor Chernozhukov
J. Escanciano
Hidehiko Ichimura
Whitney Newey
J. M. Robins
17
203
0
29 Jul 2016
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