3 papers
stat.ME2026
The Multiplicative Quasi-Instrumental Variable Model
Jiewen Liu, Chan Park, David Richardson +1
We introduce the Multiplicative Quasi-Instrumental Variable (MQIV) model, a framework for causal inference with unmeasured confounding that leverages an instrument that may be impe…
stat.ME2025
The Multiplicative Instrumental Variable Model
Jiewen Liu, Chan Park, Yonghoon Lee +4
The instrumental variable (IV) design is a common approach to address hidden confounding bias. For validity, an IV must impact the outcome only through its association with the tre…
stat.ME2024
Regression-Based Proximal Causal Inference
Jiewen Liu, Chan Park, Kendrick Li +1
Negative controls are increasingly used to evaluate the presence of potential unmeasured confounding in observational studies. Beyond the use of negative controls to detect the pre…