Dynamic prediction of transition to psychosis using joint modelling

Yuen, H P, Mackinnon, A, Hartmann, J, Amminger, G P, Markulev, C, Lavoie, S, Schäfer, M R, Polari, A, Mossaheb, N, Schlögelhofer, M, Smesny, S, Hickie, IB, Berger, G, Chen, E Y H, de Haan, L, Nieman, D H, Nordentoft, M, Riecher-Rössler, A, Verma, S, Thompson, A, Yung, A R, McGorry, P D and Nelson, B 2018, Dynamic prediction of transition to psychosis using joint modelling, Schizophrenia research, vol. 202, pp. 333-340, doi: 10.1016/j.schres.2018.07.002.

Attached Files
Name Description MIMEType Size Downloads

Title Dynamic prediction of transition to psychosis using joint modelling
Author(s) Yuen, H P
Mackinnon, A
Hartmann, J
Amminger, G P
Markulev, C
Lavoie, S
Schäfer, M R
Polari, A
Mossaheb, N
Schlögelhofer, M
Smesny, S
Hickie, IB
Berger, G
Chen, E Y H
de Haan, L
Nieman, D H
Nordentoft, M
Riecher-Rössler, A
Verma, S
Thompson, A
Yung, A R
McGorry, P D
Nelson, B
Journal name Schizophrenia research
Volume number 202
Start page 333
End page 340
Total pages 8
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2018-12
ISSN 0920-9964
Dynamic prediction
Joint modelling
Life Sciences & Biomedicine
Science & Technology
Transition to psychosis
Language eng
DOI 10.1016/j.schres.2018.07.002
Indigenous content off
Field of Research 11 Medical and Health Sciences
17 Psychology and Cognitive Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30150798

Document type: Journal Article
Collections: Faculty of Health
School of Medicine
Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 8 times in TR Web of Science
Scopus Citation Count Cited 9 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 7 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Mon, 10 May 2021, 16:09:05 EST

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.