22 citations · 38 across the 9 of their papers we have counts for
10 papers
Randomization inference on cell effects under absorbing treatment onset
Xinyuan Chen
In multiple-baseline experiments, staggered adoption designs, and stepped-wedge trials, every unit switches once from baseline to treatment at a randomized onset time and remains t…
Design-based theory for covariate adjustment in generalized pairwise comparisons
Xinyuan Chen, Fan Li
Generalized pairwise comparisons summarize treatment effects in randomized experiments with ordinal, multivariate, or prioritized outcomes. We study optimal covariate adjustment un…
Randomization inference for stepped-wedge designs with noncompliance with application to a palliative care pragmatic trial
Jeffrey Zhang, Zhe Chen, Xinyuan Chen +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…
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…
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…
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…
Model-assisted analysis of covariance estimators for stepped wedge cluster randomized experiments
Xinyuan Chen, Fan Li
Stepped wedge cluster randomized experiments (SW-CREs) represent a class of unidirectional crossover designs. Although SW-CREs have become popular, definitions of estimands and rob…
A Bayesian Machine Learning Approach for Estimating Heterogeneous Survivor Causal Effects: Applications to a Critical Care Trial
Xinyuan Chen, Michael O. Harhay, Guangyu Tong +1
Motivated by the Acute Respiratory Distress Syndrome Network (ARDSNetwork) ARDS respiratory management (ARMA) trial, we developed a flexible Bayesian machine learning approach to e…
Competing risks regression for clustered survival data via the marginal additive subdistribution hazards model
Xinyuan Chen, Denise Esserman, Fan Li
A population-averaged additive subdistribution hazards model is proposed to assess the marginal effects of covariates on the cumulative incidence function and to analyze correlated…