ArticleStatistical methods in medical research2023
A general method for calculating power for GEE analysis of complete and incomplete stepped wedge cluster randomized trials.
Article in Statistical methods in medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Finite-Sample Adjustments in Estimating Equations for Correlated Overdispersed Count Outcomes With Application to Cluster Randomized Trials.Statistics in medicine · 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
- Predictive Performance of Frailty Indices for Complications and Functional Recovery After Distal Radius Fracture Surgery in Patients Aged ≥65 years.Geriatric orthopaedic surgery & rehabilitation · 2026Article
- 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
- What Is a Stepped-Wedge Cluster Randomized Trial?JAMA internal medicine · 2025Article
- Power analysis for concurrent balanced or imbalanced multiple-intervention stepped wedge design: a simulation-based approach.BMC medical research methodology · 2025Article
- A review of current practice in the design and analysis of extremely small stepped-wedge cluster randomized trials.Clinical trials (London, England) · 2025Review
- 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
- Optimal designs using generalized estimating equations in cluster randomized crossover and stepped wedge trials.Statistical methods in medical research · 2024Article
- Multilevel Intervention Stepped Wedge Designs (MLI-SWDs).Prevention science : the official journal of the Society for Prevention Research · 2024Article
- Adherence to key recommendations for design and analysis of stepped-wedge cluster randomized trials: A review of trials published 2016-2022.Clinical trials (London, England) · 2024Review
- Information content of stepped wedge designs under the working independence assumption.Journal of statistical planning and inference · 2024Article
- Estimating intra-cluster correlation coefficients for planning longitudinal cluster randomized trials: a tutorial.International journal of epidemiology · 2023Article
- GEEMAEE: A SAS macro for the analysis of correlated outcomes based on GEE and finite-sample adjustments with application to cluster randomized trials.Computer methods and programs in biomedicine · 2023Article
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Authors and funding
6 authors.
Funding
Abstract
Stepped wedge designs have uni-directional crossovers at randomly assigned time points (steps) where clusters switch from control to intervention condition. Incomplete stepped wedge designs are increasingly used in cluster randomized trials of health care interventions and have periods without data collection due to logistical, resource and patient-centered considerations. The development of sample size formulae for stepped wedge trials has primarily focused on complete designs and continuous responses. Addressing this gap, a general, fast, non-simulation based power procedure is proposed for generalized estimating equations analysis of complete and incomplete stepped wedge designs and its predicted power is compared to simulated power for binary and continuous responses. An extensive set of simulations for six and twelve clusters is based upon the Connect-Home trial with an incomplete stepped wedge design. Results show that empirical test size is well controlled using a t-test with bias-corrected sandwich variance estimator for as few as six clusters. Analytical power agrees well with a simulated power in scenarios with twelve clusters. For six clusters, analytical power is similar to simulated power with estimation using the correctly specified model-based variance estimator. To explore the impact of study design choice on power, the proposed fast GEE power method is applied to the Connect-Home trial design, four alternative incomplete stepped wedge designs and one complete design.
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