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stat.ME2025★ 1 cited
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
Average Treatment Effect Estimation with Non-binary Instrumental Variables
Mei Dong, Lin Liu, Dingke Tang +3
Non-binary instrumental variables, especially continuous ones, are common in practice. A binary recoding induces a Wald ratio but may discard useful variation and reduce efficiency…
stat.ME2024
Fighting Noise with Noise: Causal Inference with Many Candidate Instruments
Xinyi Zhang, Linbo Wang, Stanislav Volgushev +1
Instrumental variable methods provide useful tools for inferring causal effects in the presence of unmeasured confounding. To apply these methods with large-scale data sets, a majo…