Problems with latent class analysis to detect data-driven subtypes of depression

Hanna van Loo; R B K Wanders; K J Wardenaar; E I Fried

doi:10.1038/mp.2016.202

Problems with latent class analysis to detect data-driven subtypes of depression

Hanna van Loo^*, R B K Wanders, K J Wardenaar, E I Fried

^*Corresponding author for this work

Research output: Contribution to journal › Comment/Letter to the editor › Academic › peer-review

20 Citations (Scopus)

94 Downloads (Pure)

Original language	English
Pages (from-to)	495-496
Number of pages	2
Journal	Molecular Psychiatry
Volume	23
Issue number	3
Early online date	8-Nov-2016
DOIs	https://doi.org/10.1038/mp.2016.202
Publication status	Published - Mar-2018

Keywords

COHORT
MODELS

Access to Document

10.1038/mp.2016.202

Problems with latent class analysis to detect data-driven subtypes of depressionFinal publisher's version, 51.8 KBLicence: Taverne

Handle.net

Persistent link

Cite this

@article{fc5602a893874ced812df69a328466f6,

title = "Problems with latent class analysis to detect data-driven subtypes of depression",

keywords = "COHORT, MODELS",

author = "{van Loo}, Hanna and Wanders, {R B K} and Wardenaar, {K J} and Fried, {E I}",

year = "2018",

month = mar,

doi = "10.1038/mp.2016.202",

language = "English",

volume = "23",

pages = "495--496",

journal = "Molecular Psychiatry",

issn = "1359-4184",

publisher = "Nature Publishing Group",

number = "3",

}

TY - JOUR

T1 - Problems with latent class analysis to detect data-driven subtypes of depression

AU - van Loo, Hanna

AU - Wanders, R B K

AU - Wardenaar, K J

AU - Fried, E I

PY - 2018/3

Y1 - 2018/3

KW - COHORT

KW - MODELS

U2 - 10.1038/mp.2016.202

DO - 10.1038/mp.2016.202

M3 - Comment/Letter to the editor

C2 - 27821868

SN - 1359-4184

VL - 23

SP - 495

EP - 496

JO - Molecular Psychiatry

JF - Molecular Psychiatry

IS - 3

ER -