The importance of modeling comorbidity using an intra-individual, time-series approach

Dana Tzur-Bitan; Nachshon Meiran; Golan Shahar

doi:10.1017/S0140525X10000816

The importance of modeling comorbidity using an intra-individual, time-series approach

Dana Tzur-Bitan, Nachshon Meiran, Golan Shahar

Research output: Contribution to journal › Comment/Debate

Abstract

We suggest that the network approach to comorbidity (Cramer et al.) is best examined by using longitudinal, multi-measurement, intra-individual data. Employment of time-series analysis to the examination of the generalized anxiety disorder and major depressive disorder comorbidity enables a detailed appreciation of fluctuations and causal trajectories in terms of both symptoms and cognitive vulnerability.

Original language	English
Pages (from-to)	172-173
Number of pages	2
Journal	Behavioral and Brain Sciences
Volume	33
Issue number	2-3
DOIs	https://doi.org/10.1017/S0140525X10000816
State	Published - Jun 2010
Externally published	Yes

ASJC Scopus subject areas

Neuropsychology and Physiological Psychology
Physiology
Behavioral Neuroscience

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title = "The importance of modeling comorbidity using an intra-individual, time-series approach",

abstract = "We suggest that the network approach to comorbidity (Cramer et al.) is best examined by using longitudinal, multi-measurement, intra-individual data. Employment of time-series analysis to the examination of the generalized anxiety disorder and major depressive disorder comorbidity enables a detailed appreciation of fluctuations and causal trajectories in terms of both symptoms and cognitive vulnerability.",

author = "Dana Tzur-Bitan and Nachshon Meiran and Golan Shahar",

year = "2010",

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language = "English",

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AU - Tzur-Bitan, Dana

AU - Meiran, Nachshon

AU - Shahar, Golan

PY - 2010/6

Y1 - 2010/6

N2 - We suggest that the network approach to comorbidity (Cramer et al.) is best examined by using longitudinal, multi-measurement, intra-individual data. Employment of time-series analysis to the examination of the generalized anxiety disorder and major depressive disorder comorbidity enables a detailed appreciation of fluctuations and causal trajectories in terms of both symptoms and cognitive vulnerability.

AB - We suggest that the network approach to comorbidity (Cramer et al.) is best examined by using longitudinal, multi-measurement, intra-individual data. Employment of time-series analysis to the examination of the generalized anxiety disorder and major depressive disorder comorbidity enables a detailed appreciation of fluctuations and causal trajectories in terms of both symptoms and cognitive vulnerability.

UR - https://www.scopus.com/pages/publications/77954560073

U2 - 10.1017/S0140525X10000816

DO - 10.1017/S0140525X10000816

M3 - Comment/Debate

C2 - 20584390

AN - SCOPUS:77954560073

SN - 0140-525X

VL - 33

SP - 172

EP - 173

JO - Behavioral and Brain Sciences

JF - Behavioral and Brain Sciences

IS - 2-3

ER -

The importance of modeling comorbidity using an intra-individual, time-series approach

Abstract

ASJC Scopus subject areas

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