5 papers
Causal Inference: A Tale of Three Frameworks
Linbo Wang, Thomas Richardson, James Robins
Causal inference is a central goal across many scientific disciplines. Over the past several decades, three major frameworks have emerged to formalize causal questions and guide th…
A Distributional Perspective on Pearl's Causal Hierarchy: From Marginal to Joint and Individualized Potential Outcomes
Peng Wu, Linbo Wang
Pearl's causal hierarchy is a foundational lens for formulating causal questions and is most often discussed within the framework of structural causal models. We recast the hierarc…
The synthetic instrument: From sparse association to sparse causation
Dingke Tang, Dehan Kong, Linbo Wang
In many observational studies, researchers are often interested in studying the effects of multiple exposures on a single outcome. Standard approaches for high-dimensional data suc…
Marginal Causal Effect Estimation with Continuous Instrumental Variables
Mei Dong, Lin Liu, Dingke Tang +3
Instrumental variables (IVs) are often continuous, arising in diverse fields such as economics, epidemiology, and the social sciences. Existing approaches for continuous IVs typica…
Inverse Probability Weighting-based Mediation Analysis for Microbiome Data
Yuexia Zhang, Jian Wang, Jiayi Shen +4
Mediation analysis is an important tool for studying causal associations in biomedical and other scientific areas and has recently gained attention in microbiome studies. Using a m…