The challenges of forecasting resilience
The challenges of forecasting resilience
Developing prospective models of resilience using the translational and transdiagnostic framework proposed in the target article is a challenging endeavor and will require large-scale data sets with dense intraindividual temporal sampling and innovative analytic methods.
1-2
Chang, Luke J.
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Reddan, Marianne
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Ashar, Yoni K.
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Eisenbarth, Hedwig
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Wager, Tor D.
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January 2015
Chang, Luke J.
4484b826-7142-408d-a766-f3961a278519
Reddan, Marianne
f68701d5-2a72-4af9-a5fc-5d3af2f49150
Ashar, Yoni K.
4bbd715d-a160-4457-b435-bd90e28acc04
Eisenbarth, Hedwig
41af3dcb-da48-402b-a488-49de88e64f0c
Wager, Tor D.
af33c376-ed96-4520-b980-38b3ac86b900
Chang, Luke J., Reddan, Marianne, Ashar, Yoni K., Eisenbarth, Hedwig and Wager, Tor D.
(2015)
The challenges of forecasting resilience.
Behavioral and Brain Sciences, 38, part e98, .
(doi:10.1017/S0140525X14001496).
Abstract
Developing prospective models of resilience using the translational and transdiagnostic framework proposed in the target article is a challenging endeavor and will require large-scale data sets with dense intraindividual temporal sampling and innovative analytic methods.
Text
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e-pub ahead of print date: 2 September 2014
Published date: January 2015
Organisations:
Psychology
Identifiers
Local EPrints ID: 384811
URI: http://eprints.soton.ac.uk/id/eprint/384811
ISSN: 0140-525X
PURE UUID: 10d56c8e-8a41-4e7e-9955-7a7b431e41ff
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Date deposited: 13 Jan 2016 11:55
Last modified: 15 Mar 2024 03:51
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Contributors
Author:
Luke J. Chang
Author:
Marianne Reddan
Author:
Yoni K. Ashar
Author:
Hedwig Eisenbarth
Author:
Tor D. Wager
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