2 papers
stat.ME2024
Model Selection for Causal Modeling in Missing Exposure Problems
Yuliang Shi, Yeying Zhu, Joel A. Dubin
In causal inference, properly selecting the propensity score (PS) model is an important topic and has been widely investigated in observational studies. There is also a large liter…
stat.ME2024
Causal Inference on Missing Exposure via Robust Estimation
Yuliang Shi, Yeying Zhu, Joel A. Dubin
How to deal with missing data in observational studies is a common concern for causal inference. When the covariates are missing at random (MAR), multiple approaches have been prov…