Long-term Causal Inference Under Persistent Confounding via Data
Combination

Long-term Causal Inference Under Persistent Confounding via Data Combination

15 February 2022

Papers citing "Long-term Causal Inference Under Persistent Confounding via Data Combination"

15 / 15 papers shown

Title
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning Ruichu Cai Junjie Wan Weilin Chen Zeqin Yang Zijian Li Peng Zhen Jiecheng Guo CML 56 1 0 08 May 2025
Identification and Estimation of Long-Term Treatment Effects with Monotone Missing Qinwei Yang Ruocheng Guo Shasha Han Peng Wu 26 0 0 28 Apr 2025
Long-term Causal Inference via Modeling Sequential Latent Confounding Weilin Chen Ruichu Cai Yuguang Yan Zhifeng Hao José Miguel Hernández-Lobato CML 84 1 0 26 Feb 2025
Nonparametric Heterogeneous Long-term Causal Effect Estimation via Data Combination Weilin Chen Ruichu Cai Junjie Wan Zeqin Yang José Miguel Hernández-Lobato 55 1 0 26 Feb 2025
Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights Zeqin Yang Weilin Chen Ruichu Cai Yuguang Yan Zhifeng Hao Zhipeng Yu Zhichao Zou Jixing Xu Zhen Peng Jiecheng Guo 64 3 0 27 Jun 2024
Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding Graham W. Van Goffrier Lucas Maystre Ciarán M. Gilligan-Lee CML 38 11 0 21 Feb 2023
Non-parametric identifiability and sensitivity analysis of synthetic control models Jakob Zeitler Athanasios Vlontzos Ciarán M. Gilligan-Lee CML 27 6 0 18 Jan 2023
Long-term Causal Effects Estimation via Latent Surrogates Representation Learning Ruichu Cai Weilin Chen Zeqin Yang Shu Wan Chen Zheng Xiaoqing Yang Jiecheng Guo CML BDL 40 12 0 09 Aug 2022
Detecting hidden confounding in observational data using multiple environments R. Karlsson Jesse H. Krijthe CML OOD 42 12 0 27 May 2022
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects Tobias Hatt Jeroen Berrevoets Alicia Curth Stefan Feuerriegel M. Schaar CML 52 29 0 25 Feb 2022
Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects AmirEmad Ghassami Alan Yang David Richardson I. Shpitser E. T. Tchetgen CML 21 17 0 26 Jan 2022
Proximal Causal Inference for Complex Longitudinal Studies Andrew Ying Wang Miao Xu Shi E. T. Tchetgen 32 39 0 15 Sep 2021
Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding Zhengling Qi Rui Miao Xiaoke Zhang CML 31 28 0 03 May 2021
GEAR: On Optimal Decision Making with Auxiliary Data Hengrui Cai R. Song Wenbin Lu 29 1 0 21 Apr 2021
Calibrated Optimal Decision Making with Multiple Data Sources and Limited Outcome Hengrui Cai Wenbin Lu R. Song 10 2 0 21 Apr 2021