Model-robust standardization in cluster-randomized trials
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Fan, Tong, Jiaqi, Fang, Xi, Cheng, Chao, Kahan, Brennan C., Wang, Bingkai |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Estimands and doubly robust estimation for cluster-randomized trials with survival outcomes
by: Fang, Xi, et al.
Published: (2025)
by: Fang, Xi, 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)
by: Fang, Xi, et al.
Published: (2026)
Conformal causal inference for cluster randomized trials: model-robust inference without asymptotic approximations
by: Wang, Bingkai, et al.
Published: (2024)
by: Wang, Bingkai, et al.
Published: (2024)
Handling incomplete outcomes and covariates in cluster-randomized trials: doubly-robust estimation, efficiency considerations, and sensitivity analysis
by: Wang, Bingkai, et al.
Published: (2024)
by: Wang, Bingkai, et al.
Published: (2024)
Model-robust standardization in stepped wedge designs
by: Fang, Xi, et al.
Published: (2025)
by: Fang, Xi, et al.
Published: (2025)
Causal mediation in cluster-randomized trials with multiple mediators: spillover-aware decomposition, identification, and semiparametric efficient inference
by: Tong, Jiaqi, et al.
Published: (2026)
by: Tong, Jiaqi, et al.
Published: (2026)
How to achieve model-robust inference in stepped wedge trials with model-based methods?
by: Wang, Bingkai, et al.
Published: (2024)
by: Wang, Bingkai, et al.
Published: (2024)
Demystifying estimands in cluster-randomised trials
by: Kahan, Brennan C, et al.
Published: (2023)
by: Kahan, Brennan C, et al.
Published: (2023)
Semiparametric principal stratification analysis beyond monotonicity
by: Tong, Jiaqi, et al.
Published: (2025)
by: Tong, Jiaqi, et al.
Published: (2025)
Model‐Robust Standardization in Cluster‐Randomized Trials
by: Fan Li, et al.
Published: (2025)
by: Fan Li, et al.
Published: (2025)
Sample size determination for win statistics in cluster-randomized trials
by: Fang, Xi, et al.
Published: (2025)
by: Fang, Xi, et al.
Published: (2025)
Doubly robust estimation and sensitivity analysis with outcomes truncated by death in multi-arm clinical trials
by: Tong, Jiaqi, et al.
Published: (2024)
by: Tong, Jiaqi, et al.
Published: (2024)
What is estimated in cluster randomized crossover trials with informative sizes? -- A survey of estimands and common estimators
by: Lee, Kenneth M., et al.
Published: (2025)
by: Lee, Kenneth M., et al.
Published: (2025)
Semiparametric causal mediation analysis of cluster-randomized trials for indirect and spillover effects
by: Cheng, Chao, et al.
Published: (2024)
by: Cheng, Chao, et al.
Published: (2024)
Statistical inference with win statistics in cluster-randomized trials with composite outcomes
by: Fang, Xi, et al.
Published: (2026)
by: Fang, Xi, et al.
Published: (2026)
Identification and efficient estimation of compliance and network causal effects in cluster-randomized trials
by: Cheng, Chao, et al.
Published: (2025)
by: Cheng, Chao, et al.
Published: (2025)
Leveraging machine learning to estimate individualized treatment effects in cluster-randomized trials
by: Li, Changjun, et al.
Published: (2026)
by: Li, Changjun, et al.
Published: (2026)
Asymptotic inference with flexible covariate adjustment under rerandomization and stratified rerandomization
by: Wang, Bingkai, et al.
Published: (2024)
by: Wang, Bingkai, et al.
Published: (2024)
Bayesian inference for cluster-randomized trials with multivariate outcomes subject to both truncation by death and missingness
by: Tong, Guangyu, et al.
Published: (2025)
by: Tong, Guangyu, et al.
Published: (2025)
Calibrated Bayes analysis of cluster-randomized trials
by: Liu, Ruyi, et al.
Published: (2025)
by: Liu, Ruyi, et al.
Published: (2025)
Assessing mediation in cross-sectional stepped wedge cluster randomized trials
by: Cao, Zhiqiang, et al.
Published: (2024)
by: Cao, Zhiqiang, et al.
Published: (2024)
Weighting methods for truncation by death in cluster-randomized trials
by: Isenberg, Dane, et al.
Published: (2024)
by: Isenberg, Dane, 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)
by: Ohnishi, Yuki, et al.
Published: (2024)
Evaluating Informative Cluster Size in Cluster Randomized Trials
by: Blette, Bryan S., et al.
Published: (2025)
by: Blette, Bryan S., et al.
Published: (2025)
Optimal estimation of generalized causal effects in cluster-randomized trials with multiple outcomes
by: Chen, Xinyuan, et al.
Published: (2026)
by: Chen, Xinyuan, et al.
Published: (2026)
Optimizing precision in stepped-wedge designs via machine learning and quadratic inference functions
by: Lyu, Liangbo, et al.
Published: (2026)
by: Lyu, Liangbo, et al.
Published: (2026)
Doubly robust estimation and sensitivity analysis for marginal structural quantile models
by: Cheng, Chao, et al.
Published: (2022)
by: Cheng, Chao, et al.
Published: (2022)
When do composite estimands answer non-causal questions?
by: Kahan, Brennan C, et al.
Published: (2025)
by: Kahan, Brennan C, et al.
Published: (2025)
Identification and multiply robust estimation in causal mediation analysis across principal strata
by: Cheng, Chao, et al.
Published: (2023)
by: Cheng, Chao, et al.
Published: (2023)
How should parallel cluster randomized trials with a baseline period be analyzed? A survey of estimands and common estimators
by: Lee, Kenneth Menglin, et al.
Published: (2024)
by: Lee, Kenneth Menglin, 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)
by: Chen, Zhe, et al.
Published: (2025)
A Bayesian approach to the survivor average causal effect in cluster-randomized crossover trials
by: Isenberg, Dane, et al.
Published: (2025)
by: Isenberg, Dane, et al.
Published: (2025)
Identification and estimation of causal mechanisms in cluster-randomized trials with post-treatment confounding using Bayesian nonparametrics
by: Ohnishi, Yuki, et al.
Published: (2025)
by: Ohnishi, Yuki, et al.
Published: (2025)
Power calculation for cross-sectional stepped wedge cluster randomized trials with a time-to-event endpoint
by: Baumann, Mary Ryan, et al.
Published: (2023)
by: Baumann, Mary Ryan, et al.
Published: (2023)
Subgroup analysis in multi level hierarchical cluster randomized trials
by: Chakraborty, Shubhadeep, et al.
Published: (2024)
by: Chakraborty, Shubhadeep, et al.
Published: (2024)
A tutorial on conducting sample size and power calculations for detecting treatment effect heterogeneity in cluster randomized trials with linear mixed models
by: Baumann, Mary Ryan, et al.
Published: (2025)
by: Baumann, Mary Ryan, et al.
Published: (2025)
Multiply robust estimation for causal survival analysis with treatment noncompliance
by: Cheng, Chao, et al.
Published: (2023)
by: Cheng, Chao, et al.
Published: (2023)
Analysis of cohort stepped wedge cluster-randomized trials with non-ignorable dropout via joint modeling
by: Gasparini, Alessandro, et al.
Published: (2024)
by: Gasparini, Alessandro, et al.
Published: (2024)
On the permutation equivariance principle for causal estimands
by: Tong, Jiaqi, et al.
Published: (2025)
by: Tong, Jiaqi, 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)
by: Ouyang, Yongdong, et al.
Published: (2023)
Similar Items
-
Estimands and doubly robust estimation for cluster-randomized trials with survival outcomes
by: Fang, Xi, 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) -
Conformal causal inference for cluster randomized trials: model-robust inference without asymptotic approximations
by: Wang, Bingkai, et al.
Published: (2024) -
Handling incomplete outcomes and covariates in cluster-randomized trials: doubly-robust estimation, efficiency considerations, and sensitivity analysis
by: Wang, Bingkai, et al.
Published: (2024) -
Model-robust standardization in stepped wedge designs
by: Fang, Xi, et al.
Published: (2025)