Application of Causal Forest Model to Examine Treatment Effect Heterogeneity in Substance Use Disorder Psychosocial Treatments
While causal forests show utility in exploring HTE in SUD interventions, limited baseline assessments in most trials suggest a cautious interpretation. The RATE findings for motivational interviewing highlight potential subgroup-specific treatment benefits, warranting further research.
Authors
- Michael Rosenblum
- Masoumeh Amin‐Esmaeili
- Ramin Mojtabai (ORCID: https://orcid.org/0000-0002-2134-4043)
- Elena Badillo‐Goicoechea (ORCID: https://orcid.org/0000-0003-1653-1247)
- Ryoko Susukida (ORCID: https://orcid.org/0000-0003-0444-5368)
- Elizabeth A. Stuart (ORCID: https://orcid.org/0000-0002-9042-8611)
- Kelly E. Dunn (ORCID: https://orcid.org/0000-0003-3746-3108)
- Trang Quynh Nguyen (ORCID: https://orcid.org/0000-0003-1653-5491)
Institutions
- Tulane University (US)
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
Publication Details
- Journal
- International Journal of Methods in Psychiatric Research
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1002/mpr.70011
- Citations
- 1
- Primary Topic
- Substance Abuse Treatment and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.39
Funders
- National Institute on Drug Abuse