Randomization-based inference for a marginal treatment effect in stepped wedge cluster randomized trials.

ABSTRACT: In a cross-sectional stepped wedge cluster randomized trial (SWT), clusters are randomized to crossover from control to intervention at different time periods and outcomes are assessed for a different set of individuals in each cluster-period. Randomization-based inference is an attractive analysis strategy for SWTs because it does not require full parametric specification of the outcome distribution or correlation structure and its validity does not rely on having a large number of clusters. Existing randomization-based approaches for SWTs, however, either focus on hypothesis testing and omit technical details on confidence interval (CI) calculation with noncontinuous outcomes, or employ weighted cluster-period summary statistics for p-value and CI calculation, which can result in subopti

SUBMITTER: Rabideau DJ 

PROVIDER: S-EPMC9014477 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature