Lynn Boschloo
University Medical Center Groningen
51 Papers
68 Citations
Lynn Boschloo is an academic researcher from University Medical Center Groningen. The author has contributed to research in topics: Anxiety & Major depressive disorder. The author has an hindex of 26, co-authored 44 publications. Previous affiliations of Lynn Boschloo include University of Groningen & Public Health Research Institute.
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Papers
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.
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Comparing network structures on three aspects: A permutation test.
Claudia D. van Borkulo,Riet van Bork,Lynn Boschloo,Jolanda J. Kossakowski,Pia Tio,Robert A. Schoevers,Denny Borsboom,Lourens J. Waldorp +7 more
TL;DR: The Network Comparison Test (NCT) as mentioned in this paper uses resampling-based permutation testing to compare network structures from two independent, cross-sectional data sets on invariance of (a) network structure, (b) edge strength, and (c) global strength.
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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
- 01 Jan 2017
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.
684
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.
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.