A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Zhang, Xinhai, Qiao, Xingye |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Sequential Treatment Effect Estimation with Unmeasured Confounders
par: Wang, Yingrong, et autres
Publié: (2025)
par: Wang, Yingrong, et autres
Publié: (2025)
Identifying and Estimating Causal Direct Effects Under Unmeasured Confounding
par: Boileau, Philippe, et autres
Publié: (2026)
par: Boileau, Philippe, et autres
Publié: (2026)
Robust Estimation and Model Selection for the Controlled Directed Effect with Unmeasured Mediator-Outcome Confounders
par: Orihara, Shunichiro, et autres
Publié: (2024)
par: Orihara, Shunichiro, et autres
Publié: (2024)
Bayesian Sensitivity Analysis for Causal Estimation with Time-varying Unmeasured Confounding
par: Zou, Yushu, et autres
Publié: (2025)
par: Zou, Yushu, et autres
Publié: (2025)
Information-Theoretic Causal Bounds under Unmeasured Confounding
par: Jung, Yonghan, et autres
Publié: (2026)
par: Jung, Yonghan, et autres
Publié: (2026)
Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
par: Li, Yuhan, et autres
Publié: (2025)
par: Li, Yuhan, et autres
Publié: (2025)
Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding
par: Huang, Shimeng, et autres
Publié: (2024)
par: Huang, Shimeng, et autres
Publié: (2024)
Navigating Unmeasured Confounding in Quantitative Sociology: A Sensitivity Framework
par: Lin, Cheng, et autres
Publié: (2023)
par: Lin, Cheng, et autres
Publié: (2023)
Differentiable Causal Discovery of Linear Non-Gaussian Acyclic Models Under Unmeasured Confounding
par: Morinishi, Yoshimitsu, et autres
Publié: (2025)
par: Morinishi, Yoshimitsu, et autres
Publié: (2025)
Automating the Selection of Proxy Variables of Unmeasured Confounders
par: Xie, Feng, et autres
Publié: (2024)
par: Xie, Feng, et autres
Publié: (2024)
A Doubly Robust Instrumental Variable Approach for Estimating Average Treatment Effects in Time-to-Event Data with Unmeasured Confounding: Application to Real-World Data on ICU Patients with Septic Shock
par: Li, Runjia, et autres
Publié: (2025)
par: Li, Runjia, et autres
Publié: (2025)
Heterogeneous Quantile Treatment Effect Estimation for Longitudinal Data with High-Dimensional Confounding
par: Qiu, Zhixin, et autres
Publié: (2025)
par: Qiu, Zhixin, et autres
Publié: (2025)
Identifying Unmeasured Confounders in Panel Causal Models: A Two-Stage LM-Wald Approach
par: Zheng, Bang Quan
Publié: (2025)
par: Zheng, Bang Quan
Publié: (2025)
When Is Causal Inference Possible? A Statistical Test for Unmeasured Confounding
par: Liu, Muye, et autres
Publié: (2025)
par: Liu, Muye, et autres
Publié: (2025)
Discovering Causal Relationships using Proxy Variables under Unmeasured Confounding
par: Wu, Yong, et autres
Publié: (2025)
par: Wu, Yong, et autres
Publié: (2025)
The Role of Measured Covariates in Assessing Sensitivity to Unmeasured Confounding
par: Dalal, Abhinandan, et autres
Publié: (2026)
par: Dalal, Abhinandan, et autres
Publié: (2026)
Differentiable Cyclic Causal Discovery Under Unmeasured Confounders
par: Sethuraman, Muralikrishnna G., et autres
Publié: (2025)
par: Sethuraman, Muralikrishnna G., et autres
Publié: (2025)
Nonparametric Bayesian Adjustment of Unmeasured Confounders in Cox Proportional Hazards Models
par: Orihara, Shunichiro, et autres
Publié: (2023)
par: Orihara, Shunichiro, et autres
Publié: (2023)
Optimization-based Sensitivity Analysis for Unmeasured Confounding using Partial Correlations
par: Freidling, Tobias, et autres
Publié: (2022)
par: Freidling, Tobias, et autres
Publié: (2022)
A Bayesian Nonparametric Method to Adjust for Unmeasured Confounding with Negative Controls
par: Hu, Jie Kate, et autres
Publié: (2023)
par: Hu, Jie Kate, et autres
Publié: (2023)
Addressing the Influence of Unmeasured Confounding in Observational Studies with Time-to-Event Outcomes: A Semiparametric Sensitivity Analysis Approach
par: Amoafo, Linda, et autres
Publié: (2024)
par: Amoafo, Linda, et autres
Publié: (2024)
Nonparametric Bounds in Causal Mediation Analysis in the Presence of Unmeasured Confounding and Imperfect Compliance
par: Liang, Wei, et autres
Publié: (2025)
par: Liang, Wei, et autres
Publié: (2025)
Sensitivity Analysis for Unmeasured Confounding in Medical Product Development and Evaluation Using Real World Evidence
par: Fang, Yixin, et autres
Publié: (2023)
par: Fang, Yixin, et autres
Publié: (2023)
Simple yet Sharp Sensitivity Analysis for Any Contrast Under Unmeasured Confounding
par: Peña, Jose M.
Publié: (2024)
par: Peña, Jose M.
Publié: (2024)
Estimating Dyadic Treatment Effects with Unknown Confounders
par: Hoshino, Tadao, et autres
Publié: (2024)
par: Hoshino, Tadao, et autres
Publié: (2024)
Multiple Regression Analysis of Unmeasured Confounding
par: Knaeble, Brian, et autres
Publié: (2025)
par: Knaeble, Brian, et autres
Publié: (2025)
The Proximal Surrogate Index: Long-Term Treatment Effects under Unobserved Confounding
par: Hung, Ting-Chih, et autres
Publié: (2026)
par: Hung, Ting-Chih, et autres
Publié: (2026)
A New Causal Rule Learning Approach to Interpretable Estimation of Heterogeneous Treatment Effect
par: Wu, Ying, et autres
Publié: (2023)
par: Wu, Ying, et autres
Publié: (2023)
Joint Estimation of Marginal and Heterogeneous Treatment Effects
par: Wuethrich, Leticia, et autres
Publié: (2026)
par: Wuethrich, Leticia, et autres
Publié: (2026)
Heterogeneous Treatment Effects under Network Interference: A Nonparametric Approach Based on Node Connectivity
par: Bong, Heejong, et autres
Publié: (2024)
par: Bong, Heejong, et autres
Publié: (2024)
Sharp Bounds for Continuous-Valued Treatment Effects with Unobserved Confounders
par: Baitairian, Jean-Baptiste, et autres
Publié: (2024)
par: Baitairian, Jean-Baptiste, et autres
Publié: (2024)
Model-Robust Direct Effect Under Confounder-Mediator Ambiguity
par: Ghassami, AmirEmad
Publié: (2026)
par: Ghassami, AmirEmad
Publié: (2026)
Estimating Average Causal Effects with Incomplete Exposure and Confounders
par: Wen, Lan, et autres
Publié: (2025)
par: Wen, Lan, et autres
Publié: (2025)
Estimating Treatment Effects Under Bounded Heterogeneity
par: Kwon, Soonwoo, et autres
Publié: (2025)
par: Kwon, Soonwoo, et autres
Publié: (2025)
Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables
par: Xie, Yang, et autres
Publié: (2024)
par: Xie, Yang, et autres
Publié: (2024)
Identification and Estimation of Heterogeneous Interference Effects under Unknown Network
par: Zhang, Yuhua, et autres
Publié: (2025)
par: Zhang, Yuhua, et autres
Publié: (2025)
Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders
par: Wang, Yuhao, et autres
Publié: (2020)
par: Wang, Yuhao, et autres
Publié: (2020)
LongBet: Heterogeneous Treatment Effect Estimation in Panel Data
par: Wang, Meijia, et autres
Publié: (2024)
par: Wang, Meijia, et autres
Publié: (2024)
Estimating Heterogeneous Treatment Effects for Spatio-Temporal Causal Inference
par: Zhou, Lingxiao, et autres
Publié: (2024)
par: Zhou, Lingxiao, et autres
Publié: (2024)
Reluctant Transfer Learning in Penalized Regressions for Individualized Treatment Rules under Effect Heterogeneity
par: Oh, Eun Jeong, et autres
Publié: (2025)
par: Oh, Eun Jeong, et autres
Publié: (2025)
Documents similaires
-
Sequential Treatment Effect Estimation with Unmeasured Confounders
par: Wang, Yingrong, et autres
Publié: (2025) -
Identifying and Estimating Causal Direct Effects Under Unmeasured Confounding
par: Boileau, Philippe, et autres
Publié: (2026) -
Robust Estimation and Model Selection for the Controlled Directed Effect with Unmeasured Mediator-Outcome Confounders
par: Orihara, Shunichiro, et autres
Publié: (2024) -
Bayesian Sensitivity Analysis for Causal Estimation with Time-varying Unmeasured Confounding
par: Zou, Yushu, et autres
Publié: (2025) -
Information-Theoretic Causal Bounds under Unmeasured Confounding
par: Jung, Yonghan, et autres
Publié: (2026)