71 citations · 105 across the 17 of their papers we have counts for
5 papers · 1 filter
Robust and Efficient Semiparametric Inference for the Stepped Wedge Design
Fan Xia, K. C. Gary Chan, Emily Voldal +3
Stepped wedge designs (SWDs) are increasingly used to evaluate longitudinal cluster-level interventions but pose substantial challenges for valid inference. Because crossover times…
Covariate-adjusted win statistics in randomized clinical trials with ordinal outcomes
Zhiqiang Cao, Scott Zuo, Mary Ryan Baumann +4
Ordinal outcomes are common in clinical settings where they often represent increasing levels of disease progression or different levels of functional impairment. In this article,…
Model-robust standardization in stepped wedge cluster randomized trials
Xi Fang, Xueqi Wang, Patrick J. Heagerty +2
Stepped-wedge cluster-randomized trials (SW-CRTs) are widely used in healthcare and implementation science, enabling all clusters to receive the intervention through a staggered ro…
Factors affecting power in stepped wedge trials when the treatment effect varies with time
Avi Kenny, Emily C. Voldal, Fan Xia +3
Stepped wedge cluster randomized trials (SW-CRTs) have historically been analyzed using immediate treatment (IT) models, which assume the effect of the treatment is immediate after…
A tutorial on conducting sample size and power calculations for detecting treatment effect heterogeneity in cluster randomized trials with linear mixed models
Mary Ryan Baumann, Monica Taljaard, Patrick J. Heagerty +4
Cluster-randomized trials (CRTs) are a well-established class of designs for evaluating community-based interventions. An essential task in planning these trials is determining the…