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.
Statistical efficiency and optimal design for stepped cluster studies under linear mixed effects models
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
fields
stat.ME 2years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
Simulations recommend the Mancl-DeRouen correction with t-distribution for continuous outcomes and the Morel-Bokossa-Neerchal estimator for binary outcomes in ETI models for SW-CRTs, while long-term effect estimates remain unstable.
citing papers explorer
-
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.
-
Which Small-Sample Correction Should Be Used When Analyzing Stepped-Wedge Designs with Time-Varying Treatment Effects?
Simulations recommend the Mancl-DeRouen correction with t-distribution for continuous outcomes and the Morel-Bokossa-Neerchal estimator for binary outcomes in ETI models for SW-CRTs, while long-term effect estimates remain unstable.