Predictive modeling of treatment resistant depression using data from STAR*D and an independent clinical study

Identification of risk factors of treatment resistance may be useful to guide treatment selection, avoid inefficient trial-and-error, and improve major depressive disorder (MDD) care. We extended the work in predictive modeling of treatment resistant depression (TRD) via partition of the data from t...

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Detalles Bibliográficos
Autores principales: Nie, Zhi, Vairavan, Srinivasan, Narayan, Vaibhav A., Ye, Jieping, Li, Qingqin S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5991746/
https://www.ncbi.nlm.nih.gov/pubmed/29879133
http://dx.doi.org/10.1371/journal.pone.0197268

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5991746/
https://www.ncbi.nlm.nih.gov/pubmed/29879133
http://dx.doi.org/10.1371/journal.pone.0197268

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