8 papers
Improving Precision of RCT-Based CATE Estimation using Data Borrowing with Double Calibration
Amir Asiaee, Chiara Di Gravio, Cole Beck +3
Understanding how treatment effects vary across patient characteristics is essential for personalized medicine, yet randomized controlled trials (RCTs) are often underpowered to de…
Sharp Bounds for Treatment Effect Generalization under Outcome Distribution Shift
Amir Asiaee, Samhita Pal, Cole Beck +1
Generalizing treatment effects from a randomized trial to a target population requires the assumption that potential outcome distributions are invariant across populations after co…
Estimating causal effects of functional treatments with modified functional treatment policies
Ziren Jiang, Erjia Cui, Jared D. Huling
Functional data are increasingly prevalent in biomedical research. While functional data analysis has been established for decades, causal inference with functional treatments rema…
Data adaptive covariate balancing for causal effect estimation for high dimensional data
Simion De, Jared D. Huling
A key challenge in estimating causal effects from observational data is handling confounding and is commonly achieved through weighting methods that balance distribution of covaria…
Exploring the effects of mechanical ventilator settings with modified vector-valued treatment policies
Ziren Jiang, Philip S. Crooke, John J. Marini +1
Mechanical ventilation is critical for managing respiratory failure, but inappropriate ventilator settings can lead to ventilator-induced lung injury (VILI), increasing patient mor…
Heterogeneity-Aware Regression with Nonparametric Estimation and Structured Selection for Hospital Readmission Prediction
Wei Wang, Angela Bailey, Christopher Tignanelli +1
Readmission prediction is a critical but challenging clinical task, as the inherent relationship between high-dimensional covariates and readmission is complex and heterogeneous. D…