3 papers
stat.ME2026
Demystifying Proximal Causal Inference
Grace V. Ringlein, Trang Quynh Nguyen, Peter P. Zandi +2
Proximal causal inference (PCI) has emerged as a promising framework for identifying and estimating causal effects in the presence of unobserved confounders. While many traditional…
stat.ME2025
Sensitivity Analysis when Generalizing Causal Effects from Multiple Studies to a Target Population: Motivation from the ECHO Program
Bolun Liu, Trang Quynh Nguyen, Elizabeth A. Stuart +22
Unobserved effect modifiers can induce bias when generalizing causal effect estimates to target populations. In this work, we extend a sensitivity analysis framework assessing the…
cs.CL2025
Large Language Models for Full-Text Methods Assessment: A Case Study on Mediation Analysis
Wenqing Zhang, Trang Nguyen, Elizabeth A. Stuart +1
Systematic reviews are crucial for synthesizing scientific evidence but remain labor-intensive, especially when extracting detailed methodological information. Large language model…