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

Published online by Cambridge University Press:  29 June 2010

Dana Tzur-Bitan ,
Nachshon Meiran  and
Golan Shahar
Dana Tzur-Bitan
Affiliation:
Department of Psychology, Ben Gurion University of the Negev, Beer-Sheva 84105Israel. [email protected]@bgu.ac.ilhttp://www.bgu.ac.il/~nmeiran
Nachshon Meiran
Affiliation:
Department of Psychology, Ben Gurion University of the Negev, Beer-Sheva 84105Israel. [email protected]@bgu.ac.ilhttp://www.bgu.ac.il/~nmeiran
Golan Shahar
Affiliation:
Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510. [email protected]://w3.bgu.ac.il/riskreslab
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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.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 33 , Issue 2-3 , June 2010 , pp. 172 - 173
Copyright
Copyright © Cambridge University Press 2010

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