Subtypes of treatment-resistant depression determined by a latent class analysis in a Chinese clinical population

Liao, Liwei, Wu, Zhiguo, Mellor, David, Peng, Daihui, Zhang, Chen, Xu, Jingjing, Wang, Chenglei, Cui, Lvchun and Fang, Yiru 2019, Subtypes of treatment-resistant depression determined by a latent class analysis in a Chinese clinical population, Journal of affective disorders, vol. 249, pp. 82-89, doi: 10.1016/j.jad.2019.02.005.

Attached Files
Name Description MIMEType Size Downloads

Title Subtypes of treatment-resistant depression determined by a latent class analysis in a Chinese clinical population
Author(s) Liao, Liwei
Wu, Zhiguo
Mellor, DavidORCID iD for Mellor, David orcid.org/0000-0001-5007-5906
Peng, Daihui
Zhang, Chen
Xu, Jingjing
Wang, Chenglei
Cui, Lvchun
Fang, Yiru
Journal name Journal of affective disorders
Volume number 249
Start page 82
End page 89
Total pages 8
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2019-04-15
ISSN 0165-0327
1573-2517
Keyword(s) Latent class analysis
Subtype
Treatment-resistant depression
Science & Technology
Life Sciences & Biomedicine
Clinical Neurology
Psychiatry
Neurosciences & Neurology
UNIPOLAR DEPRESSION
MENTAL-DISORDERS
PREVALENCE
PREDICTORS
DIFFERENCE
PAROXETINE
REMISSION
EFFICACY
THERAPY
HEALTH
Language eng
DOI 10.1016/j.jad.2019.02.005
Field of Research 11 Medical and Health Sciences
17 Psychology and Cognitive Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, Elsevier B.V.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30119019

Document type: Journal Article
Collections: Faculty of Health
School of Psychology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 1 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 45 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Tue, 26 Feb 2019, 15:06:04 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.