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Biomarker-based subtyping of depression and anxiety disorders using Latent Class Analysis. A NESDA s...

Biomarker-based subtyping of depression and anxiety disorders using Latent Class Analysis. A NESDA s...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6393228

Biomarker-based subtyping of depression and anxiety disorders using Latent Class Analysis. A NESDA study

About this item

Full title

Biomarker-based subtyping of depression and anxiety disorders using Latent Class Analysis. A NESDA study

Publisher

Cambridge, UK: Cambridge University Press

Journal title

Psychological medicine, 2019-03, Vol.49 (4), p.617-627

Language

English

Formats

Publication information

Publisher

Cambridge, UK: Cambridge University Press

More information

Scope and Contents

Contents

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...

Alternative Titles

Full title

Biomarker-based subtyping of depression and anxiety disorders using Latent Class Analysis. A NESDA study

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6393228

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6393228

Other Identifiers

ISSN

0033-2917

E-ISSN

1469-8978

DOI

10.1017/S0033291718001307

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