2 citations · 2 across the 5 of their papers we have counts for
5 papers
Proximal Inference for Indirect and Intervening Effects in Population Interventions
Yang Bai, Yifan Cui, Baoluo Sun
Unmeasured confounding, unethical exposure, and ill-defined interventions pose significant challenges to evaluating policy-relevant mediation estimands in medicine and public healt…
On Doubly Robust Estimation with Nonignorable Missing Data Using Instrumental Variables
Baoluo Sun, Wang Miao, Deshanee S. Wickramarachchi
Suppose we are interested in the mean of an outcome that is subject to nonignorable nonresponse. This paper develops new semiparametric estimation methods with instrumental variabl…
Testing High-Dimensional Mediation Effect with Arbitrary Exposure-Mediator Coefficients
Yinan Lin, Zijian Guo, Baoluo Sun +1
In response to the unique challenge created by high-dimensional mediators in mediation analysis, this paper presents a novel procedure for testing the nullity of the mediation effe…
Semiparametric causal mediation analysis with unmeasured mediator-outcome confounding
BaoLuo Sun, Ting Ye
Although the exposure can be randomly assigned in studies of mediation effects, any form of direct intervention on the mediator is often infeasible. As a result, unmeasured mediato…
On Mendelian Randomization Mixed-Scale Treatment Effect Robust Identification (MR MiSTERI) and Estimation for Causal Inference
Zhonghua Liu, Ting Ye, Baoluo Sun +2
Standard Mendelian randomization analysis can produce biased results if the genetic variant defining the instrumental variable (IV) is confounded and/or has a horizontal pleiotropi…