Robust analysis of stepped wedge trials using cluster-level summaries within periods.

ABSTRACT: In stepped-wedge trials (SWTs), the intervention is rolled out in a random order over more than 1 time-period. SWTs are often analysed using mixed-effects models that require strong assumptions and may be inappropriate when the number of clusters is small. We propose a non-parametric within-period method to analyse SWTs. This method estimates the intervention effect by comparing intervention and control conditions in a given period using cluster-level data corresponding to exposure. The within-period intervention effects are combined with an inverse-variance-weighted average, and permutation tests are used. We present an example and, using simulated data, compared the method to (1) a parametric cluster-level within-period method, (2) the most commonly used mixed-effects model, and (3) a mo

SUBMITTER: Thompson JA 

PROVIDER: S-EPMC6032886 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature