ArticleBiometrics2023
Assessing exposure-time treatment effect heterogeneity in stepped-wedge cluster randomized trials.
Article in Biometrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Implementation of First-Trimester Screening and Prevention of Preeclampsia: A Stepped Wedge Cluster-Randomized Trial in Asia.Circulation · 2024Trial
- Which Small-Sample Correction Should be Used When Analyzing Stepped-Wedge Designs With Time-Varying Treatment Effects?Statistics in medicine · 2026Article
- Using the NIH Research Methods Resources Website.Prevention science : the official journal of the Society for Prevention Research · 2026Article
- Comparing meta-analysis and linear mixed model-based approaches for the analysis of continuous outcomes from batched stepped wedge trials.Clinical trials (London, England) · 2026Article
- Diagnostic stewardship in emergency departments using the UNTIE framework: a stepped-wedge cluster randomised study protocol.BMJ open · 2026Article
- Model-robust standardization in stepped wedge cluster randomized trials.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2026Article
- Analysis of Stepped-Wedge Cluster Randomized Trials: A Tutorial Using Marginal Models.Statistics in medicine · 2026Article
- Factors affecting power in stepped wedge trials when the treatment effect varies with time.Trials · 2026Article
- A sensitivity analysis approach to principal stratification with a continuous longitudinal intermediate outcome: applications to a cohort stepped wedge trial.Biostatistics (Oxford, England) · 2026Article
- Gaming the System: Evaluating Spillover in a Video Game Intervention for Advance Care Planning using Physician Social Networks.Health services & outcomes research methodology · 2026Article
- Article
- What scientific inferences can be made with randomized implementation rollout trials.Implementation science : IS · 2025Article
- Selecting the optimal longitudinal cluster randomized design with a continuous outcome: Parallel-arm, crossover, or stepped-wedge.Statistical methods in medical research · 2025Article
- Analysis of Stepped-Wedge Cluster Randomized Trials When Treatment Effects Vary by Exposure Time or Calendar Time.Statistics in medicine · 2025Article
- Permutation tests for detecting treatment effect heterogeneity in cluster randomized trials.Statistical methods in medical research · 2025Article
- Development of a consensus extension of the estimands framework for cluster randomised trials (CRT-estimands): results from an international Delphi study.medRxiv : the preprint server for health sciences · 2025Article
- Analysis of Cohort Stepped Wedge Cluster-Randomized Trials With Nonignorable Dropout via Joint Modeling.Statistics in medicine · 2025Article
- Article
- How to achieve model-robust inference in stepped wedge trials with model-based methods?Biometrics · 2024Article
- Maintaining the validity of inference from linear mixed models in stepped-wedge cluster randomized trials under misspecified random-effects structures.Statistical methods in medical research · 2024Article
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4 authors.
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Abstract
A stepped-wedge cluster randomized trial (CRT) is a unidirectional crossover study in which timings of treatment initiation for clusters are randomized. Because the timing of treatment initiation is different for each cluster, an emerging question is whether the treatment effect depends on the exposure time, namely, the time duration since the initiation of treatment. Existing approaches for assessing exposure-time treatment effect heterogeneity either assume a parametric functional form of exposure time or model the exposure time as a categorical variable, in which case the number of parameters increases with the number of exposure-time periods, leading to a potential loss in efficiency. In this article, we propose a new model formulation for assessing treatment effect heterogeneity over exposure time. Rather than a categorical term for each level of exposure time, the proposed model includes a random effect to represent varying treatment effects by exposure time. This allows for pooling information across exposure-time periods and may result in more precise average and exposure-time-specific treatment effect estimates. In addition, we develop an accompanying permutation test for the variance component of the heterogeneous treatment effect parameters. We conduct simulation studies to compare the proposed model and permutation test to alternative methods to elucidate their finite-sample operating characteristics, and to generate practical guidance on model choices for assessing exposure-time treatment effect heterogeneity in stepped-wedge CRTs.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.