4 citations · 4 across the 10 of their papers we have counts for
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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 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…
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, such as factors, mediators, or network units, often share a common causal role yet lack a natural ordering. To avoid a…
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…