14 citations · 22 across the 5 of their papers we have counts for
5 papers
%CRTFASTGEEPWR: a SAS macro for power of the generalized estimating equations of multi-period cluster randomized trials with application to stepped wedge designs
Ying Zhang, John S. Preisser, Fan Li +2
Multi-period cluster randomized trials (CRTs) are increasingly used for the evaluation of interventions delivered at the group level. While generalized estimating equations (GEE) a…
Improving sandwich variance estimation for marginal Cox analysis of cluster randomized trials
Xueqi Wang, Elizabeth L. Turner, Fan Li
Cluster randomized trials (CRTs) frequently recruit a small number of clusters, therefore necessitating the application of small-sample corrections for valid inference. A recent sy…
Power considerations for generalized estimating equations analyses of four-level cluster randomized trials
Xueqi Wang, Elizabeth L. Turner, John S. Preisser +1
In this article, we develop methods for sample size and power calculations in four-level intervention studies when intervention assignment is carried out at any level, with a parti…
Constrained randomization and statistical inference for multi-arm parallel cluster randomized controlled trials
Yunji Zhou, Elizabeth L. Turner, Ryan A. Simmons +1
A practical limitation of cluster randomized controlled trials (cRCTs) is that the number of available clusters may be small, resulting in an increased risk of baseline imbalance u…
Marginal modeling of cluster-period means and intraclass correlations in stepped wedge designs with binary outcomes
Fan Li, Hengshi Yu, Paul J. Rathouz +2
Stepped wedge cluster randomized trials (SW-CRTs) with binary outcomes are increasingly used in prevention and implementation studies. Marginal models represent a flexible tool for…