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stat.ME2025
Quasi Instrumental Variable Methods for Stable Hidden Confounding and Binary Outcome
Zhonghua Liu, Baoluo Sun, Ting Ye +2
Instrumental variable (IV) methods are central to causal inference from observational data, particularly when a randomized experiment is not feasible. However, of the three convent…
stat.ME2024
Identification and Inference with Invalid Instruments
Hyunseung Kang, Zijian Guo, Zhonghua Liu +1
Instrumental variables (IVs) are widely used to study the causal effect of an exposure on an outcome in the presence of unmeasured confounding. IVs require an instrument, a variabl…
stat.ME2020★ 2 cited
On Mendelian Randomization Mixed-Scale Treatment Effect Robust Identification (MR MiSTERI) and Estimation for Causal Inference
Zhonghua Liu, Ting Ye, Baoluo Sun +2
Standard Mendelian randomization analysis can produce biased results if the genetic variant defining the instrumental variable (IV) is confounded and/or has a horizontal pleiotropi…