Saved in:
| Main Authors: | Sun, Shifeng, Wang, Xueqi, Hou, Zhuoran, Turner, Elizabeth L. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.23419 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Calibrated Bayes analysis of cluster-randomized trials
by: Liu, Ruyi, et al.
Published: (2025)
by: Liu, Ruyi, et al.
Published: (2025)
Model-robust standardization in cluster-randomized trials
by: Li, Fan, et al.
Published: (2025)
by: Li, Fan, et al.
Published: (2025)
Assessing covariate-adjusted risk differences in small-sample clinical trials
by: Schnuerch, Martin, et al.
Published: (2026)
by: Schnuerch, Martin, et al.
Published: (2026)
Increased risk of type I errors for detecting heterogeneity of treatment effects in cluster-randomized trials using mixed-effect models
by: Hyun, Noorie, et al.
Published: (2024)
by: Hyun, Noorie, et al.
Published: (2024)
Subgroup analysis in multi level hierarchical cluster randomized trials
by: Chakraborty, Shubhadeep, et al.
Published: (2024)
by: Chakraborty, Shubhadeep, 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)
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)
On clustering levels of a hierarchical categorical risk factor
by: Campo, Bavo D. C., et al.
Published: (2023)
by: Campo, Bavo D. C., et al.
Published: (2023)
Sample size determination for win statistics in cluster-randomized trials
by: Fang, Xi, et al.
Published: (2025)
by: Fang, Xi, 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)
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)
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)
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)
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)
Estimating the average treatment effect in cluster-randomized trials with misclassified outcomes and non-random validation subsets
by: Isenberg, Dane, et al.
Published: (2025)
by: Isenberg, Dane, 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)
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)
Analysis of stepped wedge cluster randomized trials in the presence of a time-varying treatment effect
by: Kenny, Avi, et al.
Published: (2021)
by: Kenny, Avi, et al.
Published: (2021)
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)
Demystifying estimands in cluster-randomised trials
by: Kahan, Brennan C, et al.
Published: (2023)
by: Kahan, Brennan C, et al.
Published: (2023)
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)
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)
Statistical methods for clustered competing risk data when the event types are only available in a training dataset
by: Wu, Yujie, et al.
Published: (2025)
by: Wu, Yujie, 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)
Rank-based estimators of global treatment effects for cluster randomized trials with multiple endpoints
by: Smith, E. Davies, et al.
Published: (2024)
by: Smith, E. Davies, 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)
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)
Estimating within-cluster and between-cluster spillover effects in randomized saturation designs
by: Lu, Sizhu, et al.
Published: (2026)
by: Lu, Sizhu, et al.
Published: (2026)
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)
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)
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)
Comment on 'Exact-corrected confidence interval for risk difference in noninferiority binomial trials'
by: Andrés, A. Martín, et al.
Published: (2024)
by: Andrés, A. Martín, et al.
Published: (2024)
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)
Risk ratio, odds ratio, risk difference... Which causal measure is easier to generalize?
by: Colnet, Bénédicte, et al.
Published: (2023)
by: Colnet, Bénédicte, et al.
Published: (2023)
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)
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)
A comparison of methods for designing hybrid type 2 cluster-randomized trials with continuous effectiveness and implementation endpoints
by: Owen, Melody, et al.
Published: (2025)
by: Owen, Melody, et al.
Published: (2025)
Sample size calculations for multilevel factorial longitudinal cluster randomised trials
by: Bowden, Rhys, et al.
Published: (2025)
by: Bowden, Rhys, et al.
Published: (2025)
Similar Items
-
Calibrated Bayes analysis of cluster-randomized trials
by: Liu, Ruyi, et al.
Published: (2025) -
Model-robust standardization in cluster-randomized trials
by: Li, Fan, et al.
Published: (2025) -
Assessing covariate-adjusted risk differences in small-sample clinical trials
by: Schnuerch, Martin, et al.
Published: (2026) -
Increased risk of type I errors for detecting heterogeneity of treatment effects in cluster-randomized trials using mixed-effect models
by: Hyun, Noorie, et al.
Published: (2024) -
Subgroup analysis in multi level hierarchical cluster randomized trials
by: Chakraborty, Shubhadeep, et al.
Published: (2024)