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Individualized prediction of transition to psychosis in 1,676 individuals at clinical high risk: development and validation of a multivariable prediction model based on individual patient data meta-analysis

Malda, A, Boonstra, N, Barf, H, De Jong, S, Aleman, A, Addington, J, Pruessner, M, Nieman, D, De Haan, L, Morrison, A, Riecher-Rössler, A, Studerus, E, Ruhrmann, S, Schultze-Lutter, F, An, SK, Koike, S, Kasai, K, Nelson, B, McGorry, P, Wood, S and Yung, Alison 2019, Individualized prediction of transition to psychosis in 1,676 individuals at clinical high risk: development and validation of a multivariable prediction model based on individual patient data meta-analysis, Frontiers in psychiatry, vol. 10, pp. 1-17, doi: 10.3389/fpsyt.2019.00345.

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Title Individualized prediction of transition to psychosis in 1,676 individuals at clinical high risk: development and validation of a multivariable prediction model based on individual patient data meta-analysis
Author(s) Malda, A
Boonstra, N
Barf, H
De Jong, S
Aleman, A
Addington, J
Pruessner, M
Nieman, D
De Haan, L
Morrison, A
Riecher-Rössler, A
Studerus, E
Ruhrmann, S
Schultze-Lutter, F
An, SK
Koike, S
Kasai, K
Nelson, B
McGorry, P
Wood, S
Yung, Alison
Journal name Frontiers in psychiatry
Volume number 10
Article ID 345
Start page 1
End page 17
Total pages 17
Publisher Frontiers Media
Place of publication Lausanne, Switzerland
Publication date 2019-05
ISSN 1664-0640
1664-0640
Keyword(s) clinical high risk
EXTERNAL VALIDATION
FOLLOW-UP
GLOBAL ASSESSMENT
individual patient data meta-analysis
Life Sciences & Biomedicine
MENTAL STATE
NEGATIVE SYMPTOMS
ONSET
PREVENTION
prognosis
Psychiatry
psychosis
risk prediction
SCALE
schizophrenia
Science & Technology
SYMPTOM ASSESSMENT
ULTRA-HIGH RISK
Language eng
DOI 10.3389/fpsyt.2019.00345
Indigenous content off
Field of Research 1103 Clinical Sciences
1117 Public Health and Health Services
1701 Psychology
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30151744

Document type: Journal Article
Collections: Faculty of Health
School of Medicine
Open Access Collection
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.