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ABSTRACT: Background
Considerations must be taken when designing group-randomized trials due to the hierarchical structure of the data. Longitudinal group-randomized trials have an added layer of nesting adding more complexity to the study design. Simulation studies have been performed to compare the operating characteristics and validate statistical models for these hierarchical data structures, but many provide simulations from parametric distributions under set assumptions.Methods
Our manuscript aims to use previous study data to compare two statistical analysis methods in group-randomized trial designs through data-driven simulations for a prospective study design. Creating simulated datasets using existing study data from a previous study allows the existing data to drive the as
SUBMITTER: Brown AR
PROVIDER: S-EPMC12448146 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature