13 papers
A Sensitivity Analysis Framework for Causal Inference Under Interference
Matvey Ortyashov, AmirEmad Ghassami
In many applications of causal inference, the treatment received by one unit may influence the outcome of another, a phenomenon referred to as interference. Although there are seve…
Multiply Robust Causal Mediation Analysis with Continuous Treatments
Yizhen Xu, AmirEmad Ghassami, Numair Sani +1
In many applications, researchers are interested in the direct and indirect causal effects of a treatment or exposure on an outcome of interest. Mediation analysis offers a rigorou…
MediEncoder: Nonlinear Representation Learning for High-Dimensional Causal Mediation Analysis
Shi Bo, Debarghya Mukherjee, AmirEmad Ghassami
Causal mediation analysis decomposes a treatment effect into indirect pathways through mediators and direct pathways not operating through them. Modern biomedical studies often inv…
Causal Discovery in Structural VAR Models Under Equal Noise Variance
SeyedSina Seyedi HasanAbadi, Fahimeh Arab, Erfan Nozari +1
Causal discovery from multivariate time series is challenging when causal effects may occur both across time and within the same sampling interval. This issue is especially importa…
Model-Robust Direct Effect Under Confounder-Mediator Ambiguity
AmirEmad Ghassami
Direct effect analyses usually require deciding whether a focal variable is a pre-exposure confounder or a post-exposure mediator. In observational studies, that distinction may be…
Causal Discovery in Linear Models with Unobserved Variables and Measurement Error
Yuqin Yang, Mohamed Nafea, Negar Kiyavash +2
The presence of unobserved common causes and measurement error poses two major obstacles to causal structure learning, since ignoring either source of complexity can induce spuriou…