3 papers
stat.ME2026
Self-separated and self-connected models for mediator and outcome missingness in mediation analysis
Trang Quynh Nguyen, Razieh Nabi, Fan Yang +2
Missing data is a common challenge in studying treatment effects. In the context of mediation analysis, this paper addresses missingness in the mediator and outcome, focusing on id…
stat.AP2025
Precision Mental Health: Predicting Heterogeneous Treatment Effects for Depression through Data Integration
Carly L. Brantner, Trang Quynh Nguyen, Harsh Parikh +3
When treating depression, clinicians are interested in determining the optimal treatment for a given patient, which is challenging given the amount of treatments available. To adva…
stat.ME2025
A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference
Harsh Parikh, Trang Quynh Nguyen, Elizabeth A. Stuart +2
Data integration approaches are increasingly used to enhance the efficiency and generalizability of studies. However, a key limitation of these methods is the assumption that outco…