The challenges of forecasting resilience

Luke J. Chang; Marianne Reddan; Yoni K. Ashar; Hedwig Eisenbarth; Tor D. Wager

doi:10.1017/S0140525X14001496

The challenges of forecasting resilience

Luke J. Chang
, Marianne Reddan
, Yoni K. Ashar
, Hedwig Eisenbarth
, Tor D. Wager

Research output: Contribution to journal › Review article › peer-review

5 Scopus citations

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.

Original language	English (US)
Article number	e98
Journal	Behavioral and Brain Sciences
Volume	38
DOIs	https://doi.org/10.1017/S0140525X14001496
State	Published - Jul 27 2015
Externally published	Yes

ASJC Scopus subject areas

Neuropsychology and Physiological Psychology
Physiology
Behavioral Neuroscience

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10.1017/S0140525X14001496

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title = "The challenges of forecasting resilience",

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.",

author = "Chang, \{Luke J.\} and Marianne Reddan and Ashar, \{Yoni K.\} and Hedwig Eisenbarth and Wager, \{Tor D.\}",

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year = "2015",

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doi = "10.1017/S0140525X14001496",

language = "English (US)",

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T1 - The challenges of forecasting resilience

AU - Chang, Luke J.

AU - Reddan, Marianne

AU - Ashar, Yoni K.

AU - Eisenbarth, Hedwig

AU - Wager, Tor D.

PY - 2015/7/27

Y1 - 2015/7/27

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84983219023

UR - https://www.scopus.com/pages/publications/84983219023#tab=citedBy

U2 - 10.1017/S0140525X14001496

DO - 10.1017/S0140525X14001496

M3 - Review article

C2 - 26785725

AN - SCOPUS:84983219023

SN - 0140-525X

VL - 38

JO - Behavioral and Brain Sciences

JF - Behavioral and Brain Sciences

M1 - e98

ER -

The challenges of forecasting resilience

Abstract

ASJC Scopus subject areas

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