Analysis of stepped wedge cluster randomized trials in the presence of a time-varying treatment effect
Fuente:
arXiv
Saved in:
| Main Authors: | Kenny, Avi, Voldal, Emily, Xia, Fan, Heagerty, Patrick J., Hughes, James P. |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Factors affecting power in stepped wedge trials when the treatment effect varies with time
by: Kenny, Avi, et al.
Published: (2025)
by: Kenny, Avi, et al.
Published: (2025)
Robust analysis of stepped wedge trials using composite likelihood models
by: Emily C. Voldal, et al.
Published: (2024)
by: Emily C. Voldal, et al.
Published: (2024)
Robust and Efficient Semiparametric Inference for the Stepped Wedge Design
by: Xia, Fan, et al.
Published: (2025)
by: Xia, Fan, et al.
Published: (2025)
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)
Model-robust standardization in stepped wedge designs
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)
Analysis of Stepped-Wedge Cluster Randomized Trials when treatment effects vary by exposure time or calendar time
by: Lee, Kenneth M., et al.
Published: (2024)
by: Lee, Kenneth M., et al.
Published: (2024)
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)
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)
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)
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)
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)
Optimal Bayesian stepped-wedge cluster randomised trial designs for binary outcome data
by: Etfer, Laura, et al.
Published: (2024)
by: Etfer, Laura, et al.
Published: (2024)
Model-assisted analysis of covariance estimators for stepped wedge cluster randomized experiments
by: Chen, Xinyuan, et al.
Published: (2023)
by: Chen, Xinyuan, et al.
Published: (2023)
Can discrete-time analyses be trusted for stepped wedge trials with continuous recruitment?
by: Wang, Hao, et al.
Published: (2025)
by: Wang, Hao, et al.
Published: (2025)
Covariate-adjusted win statistics in randomized clinical trials with ordinal outcomes
by: Cao, Zhiqiang, et al.
Published: (2025)
by: Cao, Zhiqiang, et al.
Published: (2025)
Repeated sampling of different individuals but the same clusters to improve precision of difference-in-differences estimators: the DISC design
by: Downey, Jordan, et al.
Published: (2024)
by: Downey, Jordan, 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)
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)
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)
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)
A discrete-time survival model to handle interval-censored covariates, with applications to HIV cohort studies
by: Kenny, Avi, et al.
Published: (2024)
by: Kenny, Avi, 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)
by: Cheng, Chao, 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)
A Bayesian framework for cost-effectiveness analysis with time-varying treatment decisions
by: Fernández-Morales, Esteban, et al.
Published: (2026)
by: Fernández-Morales, Esteban, et al.
Published: (2026)
Generalizing and transporting causal inferences from randomized trials in the presence of trial engagement effects
by: Ung, Lawson, et al.
Published: (2024)
by: Ung, Lawson, et al.
Published: (2024)
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)
A sensitivity analysis approach to principal stratification with a continuous longitudinal intermediate outcome: Applications to a cohort stepped wedge trial
by: Yang, Lei, et al.
Published: (2024)
by: Yang, Lei, 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)
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)
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)
Randomization inference for stepped-wedge designs with noncompliance with application to a palliative care pragmatic trial
by: Zhang, Jeffrey, et al.
Published: (2025)
by: Zhang, Jeffrey, 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)
Estimation of treatment effects in presence of differential use of post-randomization concomitant medication with time-to-event outcomes
by: Rytgaard, Helene C. W., et al.
Published: (2026)
by: Rytgaard, Helene C. W., et al.
Published: (2026)
Model-robust standardization in cluster-randomized trials
by: Li, Fan, et al.
Published: (2025)
by: Li, Fan, 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)
Sample size determination for win statistics in cluster-randomized trials
by: Fang, Xi, et al.
Published: (2025)
by: Fang, Xi, et al.
Published: (2025)
Weighting methods for truncation by death in cluster-randomized trials
by: Isenberg, Dane, et al.
Published: (2024)
by: Isenberg, Dane, et al.
Published: (2024)
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)
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)
Similar Items
-
Factors affecting power in stepped wedge trials when the treatment effect varies with time
by: Kenny, Avi, et al.
Published: (2025) -
Robust analysis of stepped wedge trials using composite likelihood models
by: Emily C. Voldal, et al.
Published: (2024) -
Robust and Efficient Semiparametric Inference for the Stepped Wedge Design
by: Xia, Fan, et al.
Published: (2025) -
Time-varying treatment effect models in stepped-wedge cluster-randomized trials with multiple interventions
by: Chen, Zhe, et al.
Published: (2025) -
Model-robust standardization in stepped wedge designs
by: Fang, Xi, et al.
Published: (2025)