3 papers
stat.ME2026
A Robust Framework for Two-Sample Mendelian Randomization under Population Heterogeneity
Dingke Tang, Xuming He, Shu Yang
Mendelian randomization is a powerful tool for causal inference in observational studies. The two-sample summary-data design, which estimates genetic associations with exposures an…
stat.ME2025
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…
stat.ME2025
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…