3 papers
stat.AP2026
When Do Traditional and Causal Decomposition Methods Diverge? A Practical Guide for Studying Health Disparities
Soojin Park, Su Yeon Kim, Chioun Lee
Identifying malleable factors that can reduce social disparities is a central objective among researchers across disciplines. Traditionally, researchers have relied on the differen…
stat.ME2026
Causal Decomposition Analysis with Synergistic Interventions: A Triply-Robust Machine Learning Approach to Addressing Multiple Dimensions of Social Disparities
Soojin Park, Su Yeon Kim, Xinyao Zheng +1
Educational disparities are rooted in and perpetuate social inequalities across multiple dimensions such as race, socioeconomic status, and geography. To reduce disparities, most i…
stat.ML2025
Simulation-Based Sensitivity Analysis in Optimal Treatment Regimes and Causal Decomposition with Individualized Interventions
Soojin Park, Suyeon Kang, Chioun Lee
Causal decomposition analysis aims to assess the effect of modifying risk factors on reducing social disparities in outcomes. Recently, this analysis has incorporated individual ch…