A Doubly Robust Machine Learning Procedure to Estimate Disparities by Race/Ethnicity and Sex in the Relationship Between Adverse Childhood Experiences and Suicidality

2026/05/01 by Adrian Harris, Kara Emery, Arielle H. Sheftall · 1 voice
Psychology · #Emotion and Mood Recognition #Mental Health via Writing #Suicide and Self-Harm Studies

paper · doi:10.1016/j.jaac.2026.05.005

crossref issued 2026/05/01 · crossref published 2026/05/01 · crossref published-print 2026/05/01 · openalex publication_date 2026/05/01 · crossref created 2026/05/18 · openalex created_date 2026/05/18 · crossref deposited 2026/06/18 · crossref indexed 2026/06/18 · openalex updated_date 2026/07/31

Citations

• Structural Racism and Suicide Prevention for Ethnoracially Minoritized Youth: A Conceptual Framework and Illustration Across Systems
• Prevalence of Adverse Childhood Experiences Among U.S. Adults — Behavioral Risk Factor Surveillance System, 2011–2020

Discussions

• Authors Explain: Adrian Harris discusses a doubly robust machine learning procedure to estimate disparities by race/ethnicity and sex in the relationship between adverse childhood experiences and suic [bsky, 1 points, 0 comments]