2020/10/05 by Phillip Sundin, Catherine M. Crespi, Sundin, Phillip T. +1
Mathematics · Decision Sciences · #Statistical Methods in Clinical Trials #Optimal Experimental Design Methods #Advanced Causal Inference Techniques
paper · pdf · doi:10.48550/arxiv.2010.02385
Stepped wedge designs (SWDs) are designs for cluster randomized trials that feature staggered, unidirectional cross-over, typically from a control to a treatment condition. Existing literature on statistical power for SWDs primarily focuses on designs with a single treatment. However, SWDs with multiple treatments are being proposed and conducted. We present a linear mixed model for a SWD with two treatments, with and without an interaction between them. We derive closed form solutions for the standard errors of the treatment effect coefficients for such models along with power calculation methods. We consider repeated cross-sectional designs as well as open and closed cohort designs and different random effect structures. Design features are examined to determine their impact on power for main treatment and interaction effects.