22 citations · 25 across the 5 of their papers we have counts for
6 papers
Bayesian pathway analysis over brain network mediators for survival data
Xinyuan Tian, Fan Li, Li Shen +2
Technological advancements in noninvasive imaging facilitate the construction of whole brain interconnected networks, known as brain connectivity. Existing approaches to analyze br…
Principal Stratification with Time-to-Event Outcomes
Bo Liu, Lisa Wruck, Fan Li
Post-randomization events, also known as intercurrent events, such as treatment noncompliance and censoring due to a terminal event, are common in clinical trials. Principal strati…
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…
Bayesian semi-parametric inference for clustered recurrent events with zero-inflation and a terminal event/4163305
Xinyuan Tian, Maria Ciarleglio, Jiachen Cai +4
Recurrent event data are common in clinical studies when participants are followed longitudinally, and are often subject to a terminal event. With the increasing popularity of larg…
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…
Disease Mapping with Generative Models
Feifei Wang, Jian Wang, Alan E. Gelfand +1
Disease mapping focuses on learning about areal units presenting high relative risk. Disease mapping models for disease counts specify Poisson regressions in relative risks compare…