Biomarker-based subtyping of depression and anxiety disorders using Latent Class Analysis. A NESDA study
Abstract
Background Etiological research of depression and anxiety disorders has been hampered by diagnostic heterogeneity. In order to address this, researchers have tried to identify more homogeneous patient subgroups. This work has predominantly focused on explaining interpersonal heterogeneity based on clinical features (i.e. symptom profiles). However, to explain interpersonal variations in underlying pathophysiological mechanisms, it might be more...
Paper Details
Title
Biomarker-based subtyping of depression and anxiety disorders using Latent Class Analysis. A NESDA study
Published Date
Jun 4, 2018
Journal
Volume
49
Issue
4
Pages
617 - 627
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Notes
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