5 citations · 5 across the 2 of their papers we have counts for
3 papers
stat.ME2021★ 5 cited
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…
stat.CO2020
GEECORR: A SAS macro for regression models of correlated binary responses and within-cluster correlation using generalized estimating equations
Tracie L. Shing, John S. Preisser, Richard C. Zink
A SAS macro, GEECORR, has been developed for the analysis of correlated binary data based on the Prentice (1988) estimating equations method that extends the Liang and Zeger (1986)…
stat.ME2018
A prediction criterion for working correlation structure selection in GEE
Gul Inan, Mahbub A. H. M. Latif, John Preisser
Generalized estimating equations (GEE) is one of the most commonly used methods for marginal regression analysis of longitudinal data, especially with discrete outcomes. The GEE me…