A review of current practice in the design and analysis of extremely small stepped-wedge cluster randomized trials
Background/Aims Stepped-wedge cluster randomized trials tend to require fewer clusters
than standard parallel-arm designs due to the switches between control and intervention …
than standard parallel-arm designs due to the switches between control and intervention …
A systematic review of stepped wedge cluster randomized trials in high impact journals: assessing the design, rationale, and analysis
E Varghese, A Briola, T Kennel, A Pooley… - Journal of Clinical …, 2024 - Elsevier
Objective Stepped wedge cluster randomized trials (SW-CRTs) are an appealing study
design because they enable sequential roll out of an intervention across clusters, bringing …
design because they enable sequential roll out of an intervention across clusters, bringing …
How to achieve model-robust inference in stepped wedge trials with model-based methods?
ABSTRACT A stepped wedge design is an unidirectional crossover design where clusters
are randomized to distinct treatment sequences. While model-based analysis of stepped …
are randomized to distinct treatment sequences. While model-based analysis of stepped …
Maintaining the validity of inference from linear mixed models in stepped-wedge cluster randomized trials under misspecified random-effects structures
Linear mixed<? show [AQ ID= GQ2 POS=-18pt]?><? show [AQ ID= GQ4]?><? show [AQ ID=
GQ5 POS= 12pt]?> models are commonly used in analyzing stepped-wedge cluster …
GQ5 POS= 12pt]?> models are commonly used in analyzing stepped-wedge cluster …
Model‐assisted analysis of covariance estimators for stepped wedge cluster randomized experiments
Stepped wedge cluster randomized experiments (SW‐CREs) represent a class of
unidirectional crossover designs. Although SW‐CREs have become popular, definitions of …
unidirectional crossover designs. Although SW‐CREs have become popular, definitions of …
Estimates of intra-cluster correlation coefficients from 2018 USA Medicare data to inform the design of cluster randomized trials in Alzheimer's and related dementias
Abstract Background Cluster randomized trials (CRTs) are increasingly important for
evaluating interventions embedded in health care systems. An essential parameter in …
evaluating interventions embedded in health care systems. An essential parameter in …
A Generalized Difference-in-Differences Estimator for Unbiased Estimation of Desired Estimands from Staggered Adoption and Stepped-Wedge Settings
L Kennedy-Shaffer - arXiv preprint arXiv:2405.08730, 2024 - arxiv.org
Staggered treatment adoption arises in the evaluation of policy impact and implementation
in a variety of settings. This occurs in both randomized stepped-wedge trials and non …
in a variety of settings. This occurs in both randomized stepped-wedge trials and non …
Analysis of cohort stepped wedge cluster-randomized trials with non-ignorable dropout via joint modeling
Stepped wedge cluster-randomized trial (CRTs) designs randomize clusters of individuals to
intervention sequences, ensuring that every cluster eventually transitions from a control …
intervention sequences, ensuring that every cluster eventually transitions from a control …
Assessing mediation in cross-sectional stepped wedge cluster randomized trials
Mediation analysis has been comprehensively studied for independent data but relatively
little work has been done for correlated data, especially for the increasingly adopted stepped …
little work has been done for correlated data, especially for the increasingly adopted stepped …
A sensitivity analysis approach to principal stratification with a continuous longitudinal intermediate outcome: Applications to a cohort stepped wedge trial
L Yang, MJ Daniels, F Li - arXiv preprint arXiv:2412.00926, 2024 - arxiv.org
Causal inference in the presence of intermediate variables is a challenging problem in many
applications. Principal stratification (PS) provides a framework to estimate principal causal …
applications. Principal stratification (PS) provides a framework to estimate principal causal …