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.
authors.affiliation: Department of Psychology, Ben Gurion University of the Negev, Beer-Sheva 84105 Israel. tzurdan@bgu.ac.il
authors.forename: Dana
authors.initials: D
authors.lastname: Tzur-Bitan
authors.forename: Nachshon
authors.initials: N
authors.lastname: Meiran
authors.forename: Golan
authors.initials: G
authors.lastname: Shahar
mesh_terms: D001008:Anxiety Disorders / Q000175:diagnosis* / Q000453:epidemiology* / Q000523:psychology; D015897:Comorbidity; D003866:Depressive Disorder / Q000175:diagnosis* / Q000453:epidemiology* / Q000523:psychology; D006801:Humans; D008960:Models, Psychological; D012931:Social Environment