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 voor dit werk

Onderzoeksoutput › Academic › peer review

21 Citaten (Scopus)

94 Downloads (Pure)

Originele taal-2	English
Pagina's (van-tot)	495-496
Aantal pagina's	2
Tijdschrift	Molecular Psychiatry
Volume	23
Nummer van het tijdschrift	3
Vroegere onlinedatum	8-nov.-2016
DOI's	https://doi.org/10.1038/mp.2016.202
Status	Published - mrt.-2018

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10.1038/mp.2016.202

Problems with latent class analysis to detect data-driven subtypes of depressionFinal publisher's version, 51,8 KBLicentie: Taverne

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

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language = "English",

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journal = "Molecular Psychiatry",

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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

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SN - 1359-4184

VL - 23

SP - 495

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JO - Molecular Psychiatry

JF - Molecular Psychiatry

IS - 3

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