causal inference

A Latent Mixture Model for Heterogeneous Causal Mechanisms in Mendelian Randomization
Daniel Iong, Qingyuan Zhao, Yang Chen
Project arXiv PDF
A Latent Mixture Model for Heterogeneous Causal Mechanisms in Mendelian Randomization
Modeling heterogeneous causal mechanisms in epidemiology with observational data
We introduced the notion of ‘mechanistic heterogeneity’ in Mendelian Randomization, developed a latent mixture method to model it, and used it to estimate heterogeneous causal effects between HDL cholesterol and coronary heart disease.
Daniel Iong, Qingyuan Zhao, Yang Chen
R Package arXiv PDF Poster Slides
Modeling heterogeneous causal mechanisms in epidemiology with observational data