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Overcoming low representation: Lessons from an integrative data analysis of CTN studies for assessing treatment effectiveness among Black people who use cocaine and/or opioids

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Year: 2026
Type: article
Source: Journal of Substance Use and Addiction Treatment
DOI: 10.1016/j.josat.2026.210022
Authors: Lesia M. Ruglass, Adriana Espinosa, Caravella McCuistian, Angela M. Haeny, Joel Lopez, Christopher Roundtree, Ashley Vena, Antonio A. Morgan-López, A. Kathleen Burlew
Institutions: The Graduate Center, CUNY, City College of New York, City University of New York, University of California, San Francisco, Yale University, Columbia University, University of Cincinnati, Emmes (United States), RTI International
Language: English

Topic: Statistical Methods in Clinical Trials
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
SDGs: Reduced inequalities, Good health and well-being

Open Access status: closed

Funder: National Institutes of Health
Awards: Development of a Technology-Based HIV Prevention Intervention for Black Women Who Use Substances, G7744918761, G9000075127, G9000080582, G9000113508, G9000124067, G9000236952
OpenAlex ID: W7161822167
FWCI: 5.18
Cites: 45
Cited by: 1
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