Novel methods for the analysis of stepped wedge cluster randomized trials.

ABSTRACT: Stepped wedge cluster randomized trials (SW-CRTs) have become increasingly popular and are used for a variety of interventions and outcomes, often chosen for their feasibility advantages. SW-CRTs must account for time trends in the outcome because of the staggered rollout of the intervention. Robust inference procedures and nonparametric analysis methods have recently been proposed to handle such trends without requiring strong parametric modeling assumptions, but these are less powerful than model-based approaches. We propose several novel analysis methods that reduce reliance on modeling assumptions while preserving some of the increased power provided by the use of mixed effects models. In one method, we use the synthetic control approach to find the best matching clusters for a given i

SUBMITTER: Kennedy-Shaffer L 

PROVIDER: S-EPMC7247054 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature