4 citations · 7 across the 4 of their papers we have counts for
6 papers · 1 filter
Quasi Instrumental Variable Methods for Stable Hidden Confounding and Binary Outcome
Zhonghua Liu, Baoluo Sun, Ting Ye +2
Instrumental variable (IV) methods are central to causal inference from observational data, particularly when a randomized experiment is not feasible. However, of the three convent…
Mediation Analysis with Multiple Mediators under Unmeasured Mediator-Outcome Confounding
Deshanee S. Wickramarachchi, Laura Huey Mien Lim, Baoluo Sun
It is often of interest in the health and social sciences to investigate the joint mediation effects of multiple post-exposure mediating variables. Identification of such joint med…
High-dimensional Model-assisted Inference for Local Average Treatment Effects with Instrumental Variables
Baoluo Sun, Zhiqiang Tan
Consider the problem of estimating the local average treatment effect with an instrument variable, where the instrument unconfoundedness holds after adjusting for a set of measured…
Accounting for correlated horizontal pleiotropy in two-sample Mendelian randomization using correlated instrumental variants
Qing Cheng, Baoluo Sun, Yingcun Xia +1
Mendelian randomization (MR) is a powerful approach to examine the causal relationships between health risk factors and outcomes from observational studies. Due to the proliferatio…
On Semiparametric Instrumental Variable Estimation of Average Treatment Effects through Data Fusion
BaoLuo Sun, Wang Miao
Suppose one is interested in estimating causal effects in the presence of potentially unmeasured confounding with the aid of a valid instrumental variable. This paper investigates…
Doubly Robust Regression Analysis for Data Fusion
Katherine Evans, BaoLuo Sun, James Robins +1
This paper investigates the problem of making inference about a parametric model for the regression of an outcome variable on covariates when data are fused from two se…