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Angélique O. J. Cramer
Researcher at Tilburg University
Publications - 58
Citations - 10931
Angélique O. J. Cramer is an academic researcher from Tilburg University. The author has contributed to research in topics: Personality & Psychopathology. The author has an hindex of 28, co-authored 57 publications receiving 7888 citations. Previous affiliations of Angélique O. J. Cramer include University of Amsterdam & VU University Amsterdam.
Papers
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Qgraph: Network visualizations of relationships in psychometric data
Sacha Epskamp,Angélique O. J. Cramer,Lourens J. Waldorp,Verena D. Schmittmann,Denny Borsboom +4 more
TL;DR: The qgraph package for R is presented, which provides an interface to visualize data through network modeling techniques, and is introduced by applying the package functions to data from the NEO-PI-R, a widely used personality questionnaire.
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Network Analysis: An Integrative Approach to the Structure of Psychopathology
TL;DR: An examines methodologies suited to identify such symptom networks and discusses network analysis techniques that may be used to extract clinically and scientifically useful information from such networks (e.g., which symptom is most central in a person's network).
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Comorbidity: a network perspective.
TL;DR: A method to visualize comorbidity networks is proposed and it is argued that this approach generates realistic hypotheses about pathways to comor bidity, overlapping symptoms, and diagnostic boundaries, that are not naturally accommodated by latent variable models.
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State of the aRt personality research: A tutorial on network analysis of personality data in R
Giulio Costantini,Sacha Epskamp,Denny Borsboom,Marco Perugini,René Mõttus,René Mõttus,Lourens J. Waldorp,Angélique O. J. Cramer +7 more
TL;DR: Different ways to construct networks from typical personality data are discussed, how to compute and interpret important measures of centrality and clustering are shown, and how one can simulate on networks to mimic personality processes are illustrated.
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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.