970 citations · 1.5k across the 39 of their papers we have counts for
39 papers
PStrata: An R Package for Principal Stratification
Bo Liu, Fan Li
Post-treatment confounding is a common problem in causal inference, including special cases of noncompliance, truncation by death, surrogate endpoint, etc. Principal stratification…
Using Overlap Weights to Address Extreme Propensity Scores in Estimating Restricted Mean Counterfactual Survival Times
Zhiqiang Cao, Lama Ghazi, Claudia Mastrogiacomo +3
While the inverse probability of treatment weighting (IPTW) is a commonly used approach for treatment comparisons in observational data, the resulting estimates may be subject to b…
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…