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Strategies of Managing Repeated Measures

Using Synthetic Random Forest to Predict HIV Viral Suppression Status Among Hospitalized Persons with HIV

Bibliographic Data

ID15338016
AuthorsJingxin Liu (0000-0003-0191-9329, University of Miami, corresponding author), Yue Pan (0000-0001-5674-5958, University of Miami), Mindy C Nelson (University of Miami), Lauren K Gooden, Lauren Gooden (0000-0001-5720-343X, Columbia University), Lisa R Metsch (0000-0001-5966-3982, Columbia University), Allan Rodríguez (0000-0001-9477-3327, University of Miami), Allan E Rodriguez, Susan Tross (New York Psychoanalytic Society and Institute), Carlos Del Rio (0000-0002-0153-3517, Emory University), Raul N Mandler (0000-0002-3320-5374, National Institutes of Health), Daniel J Feaster (0000-0002-6172-7460, University of Miami)
Year2023
Volume27
Issue9
Pages2915-2931
Publication date2023-02-05
Open AccessYes
TypeARTICLE
VenueAIDS and Behavior (JOURNAL)
Journal identifiersISSN: 1090-7165 • E-ISSN: 1573-3254
PublisherSpringer Science+Business Media (PUBLISHER • DE)
DOI10.1007/s10461-023-04015-1
PMID36739589
OpenAlexW4319262343
LanguageEN
References cited58

Health psychology · Human immunodeficiency virus (HIV · Longitudinal study · Pathology · Public health · Random forest · Repeated measures design · Set (abstract data type · Statistics · Computer Science · HIV Research and Treatment · HIV, Drug Use, Sexual Risk · HIV/AIDS Research and Interventions · Mathematics · Medicine · Artificial Intelligence · Immunology

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