5 papers
Beyond principal ignorability: Nonparametric sensitivity bounds for principal stratification
Xinyuan Chen, Michael O. Harhay, Fan Li
Principal stratification is an effective framework addressing intermediate variables in causal inference. However, point identification of the principal causal effects (PCEs) often…
Model-assisted inference for dynamic causal effects in staggered rollout cluster randomized experiments
Xinyuan Chen, Fan Li
Staggered rollout cluster randomized experiments (SR-CREs) involve sequential treatment adoption across clusters, requiring analysis methods that address a general class of dynamic…
Optimal estimation of generalized causal effects in cluster-randomized trials with multiple outcomes
Xinyuan Chen, Fan Li
Cluster-randomized trials (CRTs) are widely used to evaluate group-level interventions and increasingly collect multiple outcomes capturing complementary dimensions of benefit and…
Principal stratification with U-statistics under principal ignorability
Xinyuan Chen, Fan Li
Principal stratification is a popular framework for causal inference in the presence of an intermediate outcome. While the principal average treatment effects are the standard targ…
A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding
Xinyuan Chen, Liangyuan Hu, Fan Li
In longitudinal observational studies with time-to-event outcomes, a common objective in causal analysis is to estimate the causal survival curve under hypothetical intervention sc…