Identifying multilevel predictors of trajectories of psychopathology and resilience among juvenile offenders: A machine learning approach

Liu, H., Hou, W. K., Lau, E. Y. Y., Birk, J. L., & Bonanno, G. A. (2023). Identifying multilevel predictors of trajectories of psychopathology and resilience among juvenile offenders: A machine learning approach. Development and Psychopathology, 1–17. https://doi.org/10.1017/s0954579423000755
Authors:
Huinan Liu
Wai Kai Hou
Esther Yuet Ying Lau
Jeffrey L. Birk
George A. Bonanno
Affiliated Authors:
Jeffrey L. Birk
George A. Bonanno
Columbia Affiliation:
Subjects:
Emotion Regulation and Psychopathology in Children and Adolescents (OpenAlex Topic)
Suicidal Behavior and Prevention Strategies (OpenAlex Topic)
Impact of Mass Incarceration on Society and Individuals (OpenAlex Topic)
Author Keywords:
juvenile offenders
machine learning
psychopathology
resilience
trajectories
elink
Publication Type:
Article
Unique ID:
10.1017/s0954579423000755
PMID:
37605996
DOI:
10.1017/s0954579423000755
Journal:
Development and Psychopathology
Publication Date:
Data Source:
OpenAlex
Source Link:
View OpenAlex Record
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Record Created: