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Claudia D. van Borkulo
Researcher at University of Amsterdam
Publications - 41
Citations - 4179
Claudia D. van Borkulo is an academic researcher from University of Amsterdam. The author has contributed to research in topics: Psychopathology & Schizophrenia. The author has an hindex of 19, co-authored 34 publications receiving 2630 citations. Previous affiliations of Claudia D. van Borkulo include University of Groningen & University Medical Center Groningen.
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Journal ArticleDOI
Mental disorders as networks of problems: a review of recent insights
Eiko I. Fried,Claudia D. van Borkulo,Angélique O. J. Cramer,Lynn Boschloo,Robert A. Schoevers,Denny Borsboom +5 more
TL;DR: A review of all empirical network studies published between 2010 and 2016 concludes that network analysis has yielded important insights and may provide an important inroad towards personalized medicine by investigating the network structures of individual patients.
Journal ArticleDOI
Association of Symptom Network Structure With the Course of Depression
Claudia D. van Borkulo,Claudia D. van Borkulo,Lynn Boschloo,Denny Borsboom,Brenda W.J.H. Penninx,Lourens J. Waldorp,Robert A. Schoevers +6 more
TL;DR: In this paper, the authors examined whether the baseline network structure of major depressive disorder symptoms is associated with the longitudinal course of MDD and found that more pronounced associations between symptoms may be an important determinant of persistence in MDD.
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A new method for constructing networks from binary data
Claudia D. van Borkulo,Denny Borsboom,Sacha Epskamp,Tessa F. Blanken,Lynn Boschloo,Robert A. Schoevers,Lourens J. Waldorp +6 more
TL;DR: A method for assessing network structures from binary data based on Ising models, which combines logistic regression with model selection based on a Goodness-of-Fit measure to identify relevant relationships between variables that define connections in a network is presented.
Comparing network structures on three aspects: A permutation test
Claudia D. van Borkulo,Lynn Boschloo,Jolanda J. Kossakowski,Pia Tio,Robert A. Schoevers,Denny Borsboom,Lourens J. Waldorp +6 more
TL;DR: The Network Comparison Test (NCT) is presented, which uses resampling-based permutation testing to compare network structures from two independent, cross-sectional data sets on invariance of 1) network structure, 2) edge (connection) strength, and 3) global strength.
Journal ArticleDOI
Major Depression as a Complex Dynamic System
Angélique O. J. Cramer,Claudia D. van Borkulo,Erik J. Giltay,Han L. J. van der Maas,Kenneth S. Kendler,Marten Scheffer,Denny Borsboom +6 more
TL;DR: This model is the first intra-individual, symptom-based, process model with the potential to explain the pathogenesis and maintenance of major depression and potentially explains some well-known empirical phenomena such as spontaneous recovery.