Cover Image

A Bayesian joint model for mediation analysis with matrix-valued mediators

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Zijin, Liu, Zhihui, Hosni, Ali, Kim, John, Jiang, Bei, Saarela, Olli
Format:	Preprint
Published:	2023
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A marginal structural model for normal tissue complication probability
by: Tang, Thai-Son, et al.
Published: (2023)

Causal Variance Decompositions for Measuring Health Inequalities
by: Yu, Lin, et al.
Published: (2025)

Estimating Optimal Dynamic Treatment Regimes Using Irregularly Observed Data: A Target Trial Emulation and Bayesian Joint Modeling Approach
by: Dong, Larry, et al.
Published: (2025)

Causal mediation analysis for longitudinal and survival data in continuous time using Bayesian non-parametric joint models
by: Bhandari, Saurabh, et al.
Published: (2025)

Self-separated and self-connected models for mediator and outcome missingness in mediation analysis
by: Nguyen, Trang Quynh, et al.
Published: (2024)

A Bayesian nonparametric approach to mediation and spillover effects with multiple mediators in cluster-randomized trials
by: Ohnishi, Yuki, et al.
Published: (2024)

Continuous-time mediation analysis for repeatedly measured mediators and outcomes
by: Bourdonnec, K. Le, et al.
Published: (2024)

Causal mediation analysis in presence of multiple mediators uncausally related
by: Jerolon, Allan, et al.
Published: (2018)

Comparison of methods for mediation analysis with multiple correlated mediators
by: Appah, Mary, et al.
Published: (2024)

Recanting twins: addressing intermediate confounding in mediation analysis
by: Vo, Tat-Thang, et al.
Published: (2024)

Mediation analysis with unmeasured confounding between parallel mediators and outcome
by: Shuai, Kang, et al.
Published: (2023)

Bayesian spatial+: A joint model perspective
by: Marques, Isa, et al.
Published: (2023)

Supervised Bayesian joint graphical model for simultaneous network estimation and subgroup identification
by: Qin, Xing, et al.
Published: (2024)

A novel multi-exposure-to-multi-mediator mediation model for imaging genetic study of brain disorders
by: Wang, Neng, et al.
Published: (2025)

crumble: A comprehensive framework for modern causal mediation analysis with intermediate confounding
by: Liu, Richard, et al.
Published: (2026)

Quadruply robust methods for causal mediation analysis
by: Qi, Zhen, et al.
Published: (2026)

Semiparametric mean and variance joint models with clipped-Laplace link functions for bounded integer-valued time series
by: Liu, Tianqing, et al.
Published: (2024)

Bayesian semiparametric modelling of biomarker variability in joint models
by: Chen, Sida, et al.
Published: (2025)

A path-specific effect approach to mediation analysis with time-varying mediators and time-to-event outcomes accounting for competing risks
by: Domingo-Relloso, Arce, et al.
Published: (2024)

A Bayesian semi-parametric approach to causal mediation for longitudinal mediators and time-to-event outcomes with application to a cardiovascular disease cohort study
by: Bhandari, Saurabh, et al.
Published: (2024)

Stationary subspace analysis for spatial data
by: Saarela, Perttu, et al.
Published: (2026)

Bayesian shared parameter joint models for heterogeneous populations
by: Chen, Sida, et al.
Published: (2024)

Testing identification in mediation and dynamic treatment models
by: Huber, Martin, et al.
Published: (2024)

Practical challenges in mediation analysis: A guide for applied researchers
by: Schuler, Megan S., et al.
Published: (2024)

A Bayesian Causal Model for Matrix‐Valued Exposures With Applications to Radiotherapy Planning
by: Zijin Liu, et al.
Published: (2026)

Path-specific causal decomposition analysis with multiple correlated mediator variables
by: Smith, Melissa J., et al.
Published: (2023)

Interpretable sensitivity analysis for the Baron-Kenny approach to mediation with unmeasured confounding
by: Zhang, Mingrui, et al.
Published: (2022)

Bounds for causal mediation effects
by: Breum, Marie S., et al.
Published: (2025)

Sparse Bayesian joint modal estimation for exploratory item factor analysis
by: Hijikata, Keiichiro, et al.
Published: (2024)

Imputing missing not-at-random longitudinal marker values in time-to-event analysis: fully conditional specification multiple imputation in joint modeling
by: Murad, Havi, et al.
Published: (2024)

Semiparametric causal mediation analysis of cluster-randomized trials for indirect and spillover effects
by: Cheng, Chao, et al.
Published: (2024)

Sensitivity analysis for causal mediation: bridge score, sharp sensitivity bounds, and calibration
by: Ohnishi, Yuki, et al.
Published: (2026)

Compressive Bayesian non-negative matrix factorization for mutational signatures analysis
by: Zito, Alessandro, et al.
Published: (2024)

Bayesian feature selection in joint models with application to a cardiovascular disease cohort study
by: Islam, Mirajul, et al.
Published: (2024)

A joint model for DHS and MICS surveys: Spatial modeling with anonymized locations
by: Paige, John, et al.
Published: (2024)

Causal mediation in cluster-randomized trials with multiple mediators: spillover-aware decomposition, identification, and semiparametric efficient inference
by: Tong, Jiaqi, et al.
Published: (2026)

A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data
by: Abbott, Madeline R., et al.
Published: (2024)

Post-selection inference for high-dimensional mediation analysis with survival outcomes
by: Huang, Tzu-Jung, et al.
Published: (2024)

A Bayesian multivariate extreme value mixture model
by: Hu, Chenglei, et al.
Published: (2024)

Evaluating causal indirect effects when mediators are left-censored by assay limit of quantification
by: Jiang, Cong, et al.
Published: (2026)