5 citations · 6 across the 4 of their papers we have counts for
4 papers
Estimating Marginal Treatment Effect in Cluster Randomized Trials with Multi-level Missing Outcomes
Chia-Rui Chang, Rui Wang
Analyses of cluster randomized trials (CRTs) can be complicated by informative missing outcome data. Methods such as inverse probability weighted generalized estimating equations h…
Propensity Score Weighting for Covariate Adjustment in Randomized Clinical Trials
Shuxi Zeng, Fan Li, Rui Wang
Chance imbalance in baseline characteristics is common in randomized clinical trials. Regression adjustment such as the analysis of covariance (ANCOVA) is often used to account for…
A stochastic second-order generalized estimating equations approach for estimating intraclass correlation coefficient in the presence of informative missing data
Tom Chen, Eric Tchetgen Tchetgen, Rui Wang
Design and analysis of cluster randomized trials must take into account correlation among outcomes from the same clusters. When applying standard generalized estimating equations (…
Accounting for interactions and complex inter-subject dependency in estimating treatment effect in cluster randomized trials with missing outcomes
Melanie Prague, Rui Wang, Alisa Stephens +2
Semi-parametric methods are often used for the estimation of intervention effects on correlated outcomes in cluster-randomized trials (CRTs). When outcomes are missing at random (M…