Cargando…
Applications of Latent Growth Mixture Modeling and allied methods to posttraumatic stress response data
BACKGROUND: Scientific research into mental health outcomes following trauma is undergoing a revolution as scientists refocus their efforts to identify underlying dimensions of health and psychopathology. This effort is in stark contrast to the previous focus which was to characterize individuals ba...
Autor principal: | Galatzer-Levy, Isaac R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Co-Action Publishing
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4348412/ https://www.ncbi.nlm.nih.gov/pubmed/25735414 http://dx.doi.org/10.3402/ejpt.v6.27515 |
Ejemplares similares
-
Using Bayesian statistics for modeling PTSD through Latent Growth Mixture Modeling: implementation and discussion
por: Depaoli, Sarah, et al.
Publicado: (2015) -
Latent trajectory studies: the basics, how to interpret the results, and what to report
por: van de Schoot, Rens
Publicado: (2015) -
Cognitive Predictors of Grief Trajectories in the First Months of Loss: A Latent Growth Mixture Model
por: Smith, Kirsten V., et al.
Publicado: (2019) -
Reduced Autobiographical Memory Specificity Predicts Depression and Posttraumatic Stress Disorder After Recent Trauma
por: Kleim, Birgit, et al.
Publicado: (2008) -
Equine-Assisted Activities and Therapies for Veterans With Posttraumatic Stress Disorder: Current State, Challenges and Future Directions
por: Marchand, William R., et al.
Publicado: (2021)