Cover Image

Causal mediation in cluster-randomized trials with multiple mediators: spillover-aware decomposition, identification, and semiparametric efficient inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tong, Jiaqi, Cheng, Chao, Li, Fan
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Semiparametric causal mediation analysis of cluster-randomized trials for indirect and spillover effects
by: Cheng, Chao, 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)

Model-robust standardization in cluster-randomized trials
by: Li, Fan, et al.
Published: (2025)

Assessing mediation in cross-sectional stepped wedge cluster randomized trials
by: Cao, Zhiqiang, et al.
Published: (2024)

Identification and efficient estimation of compliance and network causal effects in cluster-randomized trials
by: Cheng, Chao, et al.
Published: (2025)

Statistical inference with win statistics in cluster-randomized trials with composite outcomes
by: Fang, Xi, et al.
Published: (2026)

Bayesian inference for cluster-randomized trials with multivariate outcomes subject to both truncation by death and missingness
by: Tong, Guangyu, et al.
Published: (2025)

Conformal causal inference for cluster randomized trials: model-robust inference without asymptotic approximations
by: Wang, Bingkai, et al.
Published: (2024)

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

Optimal estimation of generalized causal effects in cluster-randomized trials with multiple outcomes
by: Chen, Xinyuan, et al.
Published: (2026)

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

Doubly robust estimation and sensitivity analysis with outcomes truncated by death in multi-arm clinical trials
by: Tong, Jiaqi, et al.
Published: (2024)

Flexible semiparametric modeling with application to Causal Inference
by: Ren, Kun, et al.
Published: (2026)

Identification and multiply robust estimation in causal mediation analysis across principal strata
by: Cheng, Chao, et al.
Published: (2023)

Estimating within-cluster and between-cluster spillover effects in randomized saturation designs
by: Lu, Sizhu, et al.
Published: (2026)

Handling incomplete outcomes and covariates in cluster-randomized trials: doubly-robust estimation, efficiency considerations, and sensitivity analysis
by: Wang, Bingkai, et al.
Published: (2024)

Nonparametric efficient inference for network quantile causal effects under partial interference
by: Cheng, Chao, et al.
Published: (2026)

Causal machine learning for high-dimensional mediation analysis using interventional effects mapped to a target trial
by: Chen, Tong, et al.
Published: (2025)

Maintaining the validity of inference from linear mixed models in stepped-wedge cluster randomized trials under misspecified random-effects structures
by: Ouyang, Yongdong, et al.
Published: (2023)

Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome
by: Cheng, Chao, et al.
Published: (2023)

Simultaneous semiparametric inference for single-index models
by: Tang, Jiajun, et al.
Published: (2024)

Time-varying treatment effect models in stepped-wedge cluster-randomized trials with multiple interventions
by: Chen, Zhe, et al.
Published: (2025)

Causal inference for spatiotemporal point processes in the presence of outcome spillover and carryover
by: Kresin, Conor, et al.
Published: (2026)

Calibrated Bayes analysis of cluster-randomized trials
by: Liu, Ruyi, et al.
Published: (2025)

Sample size determination for win statistics in cluster-randomized trials
by: Fang, Xi, et al.
Published: (2025)

Leveraging machine learning to estimate individualized treatment effects in cluster-randomized trials
by: Li, Changjun, et al.
Published: (2026)

Model-assisted inference for dynamic causal effects in staggered rollout cluster randomized experiments
by: Chen, Xinyuan, et al.
Published: (2025)

Doubly robust estimators of the restricted mean time in favor estimands in individual- and cluster-randomized trials
by: Fang, Xi, et al.
Published: (2026)

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

Causal inference for N-of-1 trials
by: Piccininni, Marco, et al.
Published: (2024)

Weighting methods for truncation by death in cluster-randomized trials
by: Isenberg, Dane, et al.
Published: (2024)

Fast and efficient algorithms for sparse semiparametric bi-functional regression
by: Novo, Silvia, et al.
Published: (2024)

Estimands and doubly robust estimation for cluster-randomized trials with survival outcomes
by: Fang, Xi, et al.
Published: (2025)

Statistical inference of heterogeneous treatment effects using semiparametric single-index model
by: Yu, Jichang, et al.
Published: (2025)

Monte Carlo inference for semiparametric Bayesian regression
by: Kowal, Daniel R., et al.
Published: (2023)

Two-step semiparametric empirical likelihood inference from capture-recapture data with missing covariates
by: Liu, Yang, et al.
Published: (2025)

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

Causal inference with dyadic data in randomized experiments
by: Li, Yilin, et al.
Published: (2025)

Automated, efficient and model-free inference for randomized clinical trials via data-driven covariate adjustment
by: Van Lancker, Kelly, et al.
Published: (2024)

Jointly modeling multiple endpoints for efficient treatment effect estimation in randomized controlled trials
by: Wolf, Jack M., et al.
Published: (2025)