Importance of variable selection in multimodal prediction models in patients at clinical high risk for psychosis and recent onset depression-reply

Nikolaos Koutsouleris; Rachel Upthegrove; Stephen J. Wood

doi:10.1001/jamapsychiatry.2018.4237

Importance of variable selection in multimodal prediction models in patients at clinical high risk for psychosis and recent onset depression-reply

Nikolaos Koutsouleris, Rachel Upthegrove, Stephen J. Wood

Research output: Contribution to journal › Comment/debate › peer-review

2 Citations (Scopus)

Original language	English
Pages (from-to)	339-340
Number of pages	2
Journal	JAMA psychiatry
Volume	76
Issue number	3
DOIs	https://doi.org/10.1001/jamapsychiatry.2018.4237
Publication status	Published - 6 Feb 2019

ASJC Scopus subject areas

Psychiatry and Mental health

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1001/jamapsychiatry.2018.4237Licence: None: All rights reserved

https://jamanetwork.com/journals/jamapsychiatry/fullarticle/2722845Licence: None: All rights reserved

Cite this

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title = "Importance of variable selection in multimodal prediction models in patients at clinical high risk for psychosis and recent onset depression-reply",

author = "Nikolaos Koutsouleris and Rachel Upthegrove and Wood, \{Stephen J.\}",

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language = "English",

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AU - Upthegrove, Rachel

AU - Wood, Stephen J.

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