Develops a unified covariance framework for M-SWDs that accommodates non-uniform cluster-period correlations while preserving closed-form variance expressions for treatment effect estimators.
Sample size calculation for stepped wedge and other longitudinal cluster randomised trials
2 Pith papers cite this work, alongside 273 external citations. Polarity classification is still indexing.
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Emulating stepped-wedge cluster randomized trials in the target trial emulation framework provides a conceptual structure for evaluating health policies with staggered adoption in observational and quasi-experimental studies.
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A generalized multiple-intervention stepped wedge design framework for treatment effect estimation in the presence of non-uniform cluster-period correlation structures
Develops a unified covariance framework for M-SWDs that accommodates non-uniform cluster-period correlations while preserving closed-form variance expressions for treatment effect estimators.
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Emulating Stepped-Wedge Cluster Randomized Trials to Evaluate Health Policies and Interventions
Emulating stepped-wedge cluster randomized trials in the target trial emulation framework provides a conceptual structure for evaluating health policies with staggered adoption in observational and quasi-experimental studies.