6 papers
Design-based inference for generalized causal effects in randomized experiments
Xinyuan Chen, Fan Li
Generalized causal effect estimands, including the Mann-Whitney parameter and causal net benefit, provide flexible summaries of treatment effects in randomized experiments with non…
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…
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…
On Anticipation Effect in Stepped Wedge Cluster Randomized Trials
Hao Wang, Xinyuan Chen, Katherine R. Courtright +4
In stepped wedge cluster randomized trials (SW-CRTs), the intervention is rolled out to clusters over multiple periods. A standard approach for analyzing SW-CRTs utilizes the linea…
Randomization inference for stepped-wedge designs with noncompliance with application to a palliative care pragmatic trial
Jeffrey Zhang, Zhe Chen, Katherine R. Courtright +5
While palliative care is increasingly commonly delivered to hospitalized patients with serious illnesses, few studies have estimated its causal effects. Courtright et al. (2016) ad…
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…