4 citations · 13 across the 8 of their papers we have counts for
8 papers
Marginal Interventional Effects
Xiang Zhou, Aleksei Opacic
Conventional causal estimands, such as the average treatment effect (ATE), capture how the mean outcome in a population or subpopulation would change if all units were assigned to…
Methods for Large-scale Single Mediator Hypothesis Testing: Possible Choices and Comparisons
Jiacong Du, Xiang Zhou, Wei Hao +3
Mediation hypothesis testing for a large number of mediators is challenging due to the composite structure of the null hypothesis, H0:alpha*beta=0 (alpha: effect of the exposure on…
Some Doubly and Multiply Robust Estimators of Controlled Direct Effects
Xiang Zhou
This letter introduces several doubly, triply, and quadruply robust estimators of the controlled direct effect. Among them, the triply and quadruply robust estimators are locally s…
Semiparametric Estimation for Causal Mediation Analysis with Multiple Causally Ordered Mediators
Xiang Zhou
Causal mediation analysis concerns the pathways through which a treatment affects an outcome. While most of the mediation literature focuses on settings with a single mediator, a f…
Bayesian Hierarchical Models for High-Dimensional Mediation Analysis with Coordinated Selection of Correlated Mediators
Yanyi Song, Xiang Zhou, Jian Kang +9
We consider Bayesian high-dimensional mediation analysis to identify among a large set of correlated potential mediators the active ones that mediate the effect from an exposure va…
Bayesian Sparse Mediation Analysis with Targeted Penalization of Natural Indirect Effects
Yanyi Song, Xiang Zhou, Jian Kang +9
Causal mediation analysis aims to characterize an exposure's effect on an outcome and quantify the indirect effect that acts through a given mediator or a group of mediators of int…
Regression-with-residuals Estimation of Marginal Effects: A Method of Adjusting for Treatment-induced Confounders that may also be Moderators
Geoffrey T. Wodtke, Zahide Alaca, Xiang Zhou
Treatment-induced confounders complicate analyses of time-varying treatment effects and causal mediation. Conditioning on these variables naively to estimate marginal effects may i…
Residual Balancing: A Method of Constructing Weights for Marginal Structural Models
Xiang Zhou, Geoffrey T. Wodtke
When making causal inferences, post-treatment confounders complicate analyses of time-varying treatment effects. Conditioning on these variables naively to estimate marginal effect…