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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Bibliographic Details
Main Authors: Zhi Nie, Srinivasan Vairavan, Vaibhav A Narayan, Jieping Ye, Qingqin S Li
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:https://storage.googleapis.com/plos-corpus-prod/10.1371/journal.pone.0197268/1/pone.0197268.pdf?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=wombat-sa%40plos-prod.iam.gserviceaccount.com%2F20210222%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20210222T203614Z&X-Goog-Expires=3600&X-Goog-SignedHeaders=host&X-Goog-Signature=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