4 citations · 4 across the 11 of their papers we have counts for
13 papers
Calibrated Bayesian inference for overall and subgroup-specific causal effects in stepped-wedge cluster-randomized trials
Ruyi Liu, Yuki Ohnishi, Xi Fang +2
Stepped-wedge cluster-randomized trials (SW-CRTs) randomly assign clusters to sequences that determine when each cluster switches from control to intervention. Conventional Bayesia…
The Resolution of Causal Heterogeneity
Yuki Ohnishi, Fan Li
Causal subgroup analyses often report a small number of groups summarizing treatment effect heterogeneity, as if that number were a well-defined estimand. Outside genuinely latent…
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…
Propensity score weighted Cox regression for survival outcomes in observational studies with multiple or factorial treatments
Zixian Zhao, Chengxin Yang, Fan Li
In observational studies with survival or time-to-event outcomes, a propensity score weighted marginal Cox proportional hazard model with the treatment variable as the only predict…
Identification and estimation of causal mechanisms in cluster-randomized trials with post-treatment confounding using Bayesian nonparametrics
Yuki Ohnishi, Michael J. Daniels, Lei Yang +1
Causal mediation analysis in cluster-randomized trials (CRTs) is essential for explaining how cluster-level interventions affect individual outcomes, yet it is complicated by inter…
On the permutation equivariance principle for causal estimands
Jiaqi Tong, Fan Li
In many causal inference problems, multiple action variables share a common causal role yet lack a natural ordering. \revblue{We consider action variables, each evaluated…
Principal stratification with recurrent events truncated by a terminal event: A nested Bayesian nonparametric approach
Yuki Ohnishi, Michael O. Harhay, Guangyu Tong +1
Recurrent events often serve as key endpoints in clinical studies but may be prematurely truncated by terminal events such as death, creating selection bias and complicating causal…
A sensitivity analysis approach to principal stratification with a continuous longitudinal intermediate outcome: Applications to a cohort stepped wedge trial
Lei Yang, Michael J. Daniels, Fan Li
Causal inference in the presence of intermediate variables is a challenging problem in many applications. Principal stratification (PS) provides a framework to estimate principal c…
A Bayesian nonparametric approach to mediation and spillover effects with multiple mediators in cluster-randomized trials
Yuki Ohnishi, Fan Li
Cluster randomized trials (CRTs) with multiple unstructured mediators present significant methodological challenges for causal inference due to within-cluster correlation, interfer…
Forecasting Causal Effects of Future Interventions: Confounding and Transportability Issues
Laura Forastiere, Fan Li, Michela Baccini
Recent developments in causal inference allow us to transport a causal effect of a time-fixed treatment from a randomized trial to a target population across space but within the s…
Methodology and Real-World Applications of Dynamic Uncertain Causality Graph for Clinical Diagnosis with Explainability and Invariance
Zhan Zhang, Qin Zhang, Yang Jiao +18
AI-aided clinical diagnosis is desired in medical care. Existing deep learning models lack explainability and mainly focus on image analysis. The recently developed Dynamic Uncerta…
Leveraging Neural Networks to Profile Health Care Providers with Application to Medicare Claims
Wenbo Wu, Fan Li, Richard Liu +5
Encompassing numerous nationwide, statewide, and institutional initiatives in the United States, provider profiling has evolved into a major health care undertaking with ubiquitous…
Subgroup Balancing Propensity Score
Jing Dong, Junni L Zhang, Fan Li
We investigate the estimation of subgroup treatment effects with observational data. Existing propensity score matching and weighting methods are mostly developed for estimating ov…