14 citations · 47 across the 15 of their papers we have counts for
6 papers · 1 filter
Power calculation for cross-sectional stepped wedge cluster randomized trials with a time-to-event endpoint
Mary Ryan Baumann, Denise Esserman, Monica Taljaard +1
Stepped wedge cluster randomized trials (SW-CRTs) are a form of randomized trial whereby clusters are progressively transitioned from control to intervention, with the timing of tr…
Group sequential two-stage preference designs
Ruyi Liu, Fan Li, Denise Esserman +1
The two-stage preference design (TSPD) enables the inference for treatment efficacy while allowing for incorporation of patient preference to treatment. It can provide unbiased est…
Maintaining the validity of inference from linear mixed models in stepped-wedge cluster randomized trials under misspecified random-effects structures
Yongdong Ouyang, Monica Taljaard, Andrew B Forbes +1
Linear mixed models are commonly used in analyzing stepped-wedge cluster randomized trials (SW-CRTs). A key consideration for analyzing a SW-CRT is accounting for the potentially c…
Model-assisted analysis of covariance estimators for stepped wedge cluster randomized experiments
Xinyuan Chen, Fan Li
Stepped wedge cluster randomized experiments (SW-CREs) represent a class of unidirectional crossover designs. Although SW-CREs have become popular, definitions of estimands and rob…
Demystifying estimands in cluster-randomised trials
Brennan C Kahan, Bryan Blette, Michael Harhay +4
Estimands can help clarify the interpretation of treatment effects and ensure that estimators are aligned to the study's objectives. Cluster randomised trials require additional at…
Maximin optimal cluster randomized designs for assessing treatment effect heterogeneity
Mary M. Ryan, Denise Esserman, Fan Li
Cluster randomized trials (CRTs) are studies where treatment is randomized at the cluster level but outcomes are typically collected at the individual level. When CRTs are employed…