970 citations · 1.5k across the 39 of their papers we have counts for
6 papers · 1 filter
Model-robust and efficient covariate adjustment for cluster-randomized experiments
Bingkai Wang, Chan Park, Dylan S. Small +1
Cluster-randomized experiments are increasingly used to evaluate interventions in routine practice conditions, and researchers often adopt model-based methods with covariate adjust…
Doubly robust estimation and sensitivity analysis for marginal structural quantile models
Chao Cheng, Liangyuan Hu, Fan Li
The marginal structure quantile model (MSQM) provides a unique lens to understand the causal effect of a time-varying treatment on the full distribution of potential outcomes. Unde…
Using propensity scores for racial disparities analysis
Fan Li
Propensity score plays a central role in causal inference, but its use is not limited to causal comparisons. As a covariate balancing tool, propensity score can be used for control…
Power analyses for stepped wedge designs with multivariate continuous outcomes
Kendra Davis-Plourde, Monica Taljaard, Fan Li
Multivariate outcomes are common in pragmatic cluster randomized trials. While sample size calculation procedures for multivariate outcomes exist under parallel assignment, none ha…
Leveraging baseline covariates to analyze small cluster-randomized trials with a rare binary outcome
Angela Y. Zhu, Nandita Mitra, Karla Hemming +2
Cluster-randomized trials (CRTs) involve randomizing entire groups of participants -- called clusters -- to treatment arms but are often comprised of a limited or fixed number of 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…