9 citations · 9 across the 7 of their papers we have counts for
9 papers
Power and sample size calculations for causal mediation analysis with a binary mediator in randomized trials
Bosen Cui, Yuhong Yang, Fan Yang
Mediation analyses are increasingly conducted in randomized trials, but a sample size adequate for the total treatment effect may leave the natural indirect effect (NIE) or natural…
Identification and estimation of the conditional average treatment effect with nonignorable missing covariates, treatment, and outcome
Shuozhi Zuo, Yixin Wang, Fan Yang
Treatment effect heterogeneity is central to policy evaluation, social science, and precision medicine, where interventions can affect individuals differently. In observational stu…
Asymptotic Analysis of Optimal Diversification in Catastrophe Risk Pooling
Minh Chau Nguyen, Tony S. Wirjanto, Fan Yang
Catastrophe risk has long been recognized to pose a serious threat to the insurance sector. Catastrophe risk pooling offers an effective way to diversify losses arising from catast…
Two-Phase Treatment with Noncompliance: Identifying the Cumulative Average Treatment Effect via Multisite Instrumental Variables
Guanglei Hong, Xu Qin, Zhengyan Xu +1
When evaluating a two-phase intervention, the cumulative average treatment effect (ATE) is often the primary causal estimand of interest. However, some individuals who do not respo…
Stratified Permutational Berry--Esseen Bounds and Their Applications to Statistics
Pengfei Tian, Fan Yang, Peng Ding
The stratified linear permutation statistic arises in various statistics problems, including stratified and post-stratified survey sampling, stratified and post-stratified experime…
Identifiability of the instrumental variable model with the treatment and outcome missing not at random
Shuozhi Zuo, Peng Ding, Fan Yang
The instrumental variable model of Imbens and Angrist (1994) and Angrist et al. (1996) identifies the local average treatment effect, also known as the complier average causal effe…
Self-separated and self-connected models for mediator and outcome missingness in mediation analysis
Trang Quynh Nguyen, Razieh Nabi, Fan Yang +2
Missing data is a common challenge in studying treatment effects. In the context of mediation analysis, this paper addresses missingness in the mediator and outcome, focusing on id…
Disentangle Estimation of Causal Effects from Cross-Silo Data
Yuxuan Liu, Haozhao Wang, Shuang Wang +4
Estimating causal effects among different events is of great importance to critical fields such as drug development. Nevertheless, the data features associated with events may be d…
A Framework for Covariate Balance using Bregman Distances
Kevin P. Josey, Elizabeth Juarez-Colunga, Fan Yang +1
A common goal in observational research is to estimate marginal causal effects in the presence of confounding variables. One solution to this problem is to use the covariate distri…