Cover Image

Bayesian Structured Mediation Analysis With Unobserved Confounders

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Yuliang, Yang, Shu, Kang, Jian
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bayesian Image Mediation Analysis
by: Xu, Yuliang, et al.
Published: (2023)

Nonparametric Sensitivity Analysis for Unobserved Confounding with Survival Outcomes
by: Hu, Rui, et al.
Published: (2025)

Sensitivity Analysis to Unobserved Confounding with Copula-based Normalizing Flows
by: Balgi, Sourabh, et al.
Published: (2025)

Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding
by: Zheng, Jiajing, et al.
Published: (2021)

Auditing Fairness under Unobserved Confounding
by: Byun, Yewon, et al.
Published: (2024)

Sharp Bounds for Continuous-Valued Treatment Effects with Unobserved Confounders
by: Baitairian, Jean-Baptiste, et al.
Published: (2024)

Causal Inference with Categorical Unobserved Confounder via Mixture Learning
by: Saha, Aytijhya, et al.
Published: (2026)

Causal Discovery of Linear Non-Gaussian Causal Models with Unobserved Confounding
by: Schkoda, Daniela, et al.
Published: (2024)

The Proximal Surrogate Index: Long-Term Treatment Effects under Unobserved Confounding
by: Hung, Ting-Chih, et al.
Published: (2026)

Identifiability of Treatment Effects with Unobserved Spatially Varying Confounders
by: Tang, Tommy, et al.
Published: (2026)

Peer Effect Estimation in the Presence of Simultaneous Feedback and Unobserved Confounders
by: Du, Xiaojing, et al.
Published: (2025)

Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding
by: Rambachan, Ashesh, et al.
Published: (2022)

$ρ$-GNF: A Copula-based Sensitivity Analysis to Unobserved Confounding Using Normalizing Flows
by: Balgi, Sourabh, et al.
Published: (2022)

Bayesian Causal Discovery with Cycles and Latent Confounders
by: Jin, Wei, et al.
Published: (2025)

Efficient Nonparametric Inference for Mediation Analysis with Nonignorable Missing Confounders
by: Shan, Jiawei, et al.
Published: (2024)

Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
by: Schröder, Maresa, et al.
Published: (2023)

A Bivariate Transformation Model for Time-to-Event Data Affected by Unobserved Confounding: Revisiting the Illinois Reemployment Bonus Experiment
by: Marra, Giampiero, et al.
Published: (2024)

Integrative Analysis of High-dimensional RCT and RWD Subject to Censoring and Hidden Confounding
by: Ye, Xin, et al.
Published: (2025)

Bayesian Sensitivity Analysis for Causal Estimation with Time-varying Unmeasured Confounding
by: Zou, Yushu, et al.
Published: (2025)

Nonparametric Bounds in Causal Mediation Analysis in the Presence of Unmeasured Confounding and Imperfect Compliance
by: Liang, Wei, et al.
Published: (2025)

Bayesian Inference for Confounding Variables and Limited Information
by: Scharfenaker, Ellis, et al.
Published: (2025)

Model-Robust Direct Effect Under Confounder-Mediator Ambiguity
by: Ghassami, AmirEmad
Published: (2026)

Nonparametric Bayesian Adjustment of Unmeasured Confounders in Cox Proportional Hazards Models
by: Orihara, Shunichiro, et al.
Published: (2023)

Spatial Confounding in Multivariate Areal Data Analysis
by: Wu, Kyle Lin, et al.
Published: (2025)

Sensitivity Analysis for Unmeasured Confounding in Medical Product Development and Evaluation Using Real World Evidence
by: Fang, Yixin, et al.
Published: (2023)

A Bayesian Nonparametric Method to Adjust for Unmeasured Confounding with Negative Controls
by: Hu, Jie Kate, et al.
Published: (2023)

Robust Estimation and Model Selection for the Controlled Directed Effect with Unmeasured Mediator-Outcome Confounders
by: Orihara, Shunichiro, et al.
Published: (2024)

Bayesian Functional Analysis for Untargeted Metabolomics Data with Matching Uncertainty and Small Sample Sizes
by: Ma, Guoxuan, et al.
Published: (2023)

A Spectral Confounder Adjustment for Spatial Regression with Multiple Exposures and Outcomes
by: Prim, Shih-Ni, et al.
Published: (2025)

On the PM2.5 -- Mortality Association: A Bayesian Model for Spatio-Temporal Confounding
by: Zaccardi, Carlo, et al.
Published: (2024)

Modelling Skewed and Heavy-Tailed Errors in Bayesian Mediation Analysis
by: Li, Zongyu, et al.
Published: (2025)

Optimization-based Sensitivity Analysis for Unmeasured Confounding using Partial Correlations
by: Freidling, Tobias, et al.
Published: (2022)

Adaptive Bayesian Multivariate Spline Knot Inference with Prior Specifications on Model Complexity
by: He, Junhui, et al.
Published: (2024)

Addressing the Influence of Unmeasured Confounding in Observational Studies with Time-to-Event Outcomes: A Semiparametric Sensitivity Analysis Approach
by: Amoafo, Linda, et al.
Published: (2024)

Nonlinear Causal Discovery with Confounders
by: Li, Chunlin, et al.
Published: (2023)

Bayesian Inference of Spatially Varying Correlations via the Thresholded Correlation Gaussian Process
by: Li, Moyan, et al.
Published: (2024)

Information-Theoretic Causal Bounds under Unmeasured Confounding
by: Jung, Yonghan, et al.
Published: (2026)

Causal Inference for Unobservable Multivariate Outcomes, with Applications to Brain Effective Connectivity
by: Song, Haiyue, et al.
Published: (2026)

Recovering Unobserved Network Links from Aggregated Relational Data: Discussions on Bayesian Latent Surface Modeling and Penalized Regression
by: Tseng, Yen-hsuan
Published: (2025)

Causal Structure Representation Learning of Confounders in Latent Space for Recommendation
by: Xu, Hangtong, et al.
Published: (2023)