Request a copy

Full Text

33

CITATIONS

33 Total citations

23 Recent citations

6.91 Field Citation Ratio

2.7 Relative Citation Ratio

publications

0

supporting

0

mentioning

0

contrasting

0

Smart Citations

0

0

0

0

Citing PublicationsSupportingMentioningContrasting

View Citations

See how this article has been cited at scite.ai

scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

• American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.).
• Borsboom D., (2008). Psychometric perspectives on diagnostic systems. Journal of Clinical Psychology, 64(9), 1089–1108.
• Borsboom D., (2017). A network theory of mental disorders. World Psychiatry: Official Journal of the World Psychiatric Association (WPA), 16(1), 5–13.
• Borsboom D., Cramer A. O., (2013). Network analysis: An integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology, 9(1), 91–121.
• Briganti G., Fried E. I., Linkowski P., (2019). Network analysis of contingencies of self-worth scale in 680 university students. Psychiatry Research, 272, 252–257.
• Briganti G., Kempenaers C., Braun S., Fried E. I., Linkowski P., (2018). Network analysis of empathy items from the interpersonal reactivity index in 1973 young adults. Psychiatry Research, 265, 87–92.
• Cramer A. O. J., Borkulo C. D. v., Giltay E. J., Maas H. L. J. V. D., Kendler K. S., Scheffer M., Borsboom D., (2016). Major depression as a complex dynamic system. PLoS One, 11(12), e0167490.
• Epskamp S., Cramer A. O. J., Waldorp L. J., Schmittmann V. D., Borsboom D., (2012). qgraph: Network visualizations of relationships in psychometric data. Journal of Statistical Software, 48(4), 1–18.
• Epskamp S., Fried E. I., (2018). A tutorial on regularized partial correlation networks. Psychological Methods, 23(4), 617–634.
• Fried E. I., Borkulo C. D. v., Cramer A. O. J., Boschloo L., Schoevers R. A., Borsboom D., (2017). Mental disorders as networks of problems: A review of recent insights. Social Psychiatry and Psychiatric Epidemiology, 52(1), 1–10.
• Fried E. I., Cramer A. O. J., (2017). Moving forward: Challenges and directions for psychopathological network theory and methodology. Perspectives on Psychological Science: A Journal of the Association for Psychological Science, 12(6), 999–1020.
• Fried E. I., Eidhof M. B., Palic S., Costantini G., Huisman-van Dijk H. M., Bockting C. L. H., Engelhard I., Armour C., Nielsen A. B. S., Karstoft K.-I., (2018). Replicability and generalizability of posttraumatic stress disorder (PTSD) networks: A cross-cultural multisite study of PTSD symptoms in four trauma patient samples. Clinical Psychological Science: A Journal of the Association for Psychological Science, 6(3), 335–351.
• Fried E. I., Epskamp S., Nesse R. M., Tuerlinckx F., Borsboom D., (2016). What are ’good’ depression symptoms? Comparing the centrality of DSM and non-DSM symptoms of depression in a network analysis. Journal of Affective Disorders, 189, 314–320.
• Fried E. I., Haslbeck J. M., (2019). Using network analysis to examine links between individual depression symptoms, inflammatory markers, and covariates. Psychological Medicine, 47(16), 1–9.
• Fried E. I., Nesse R. M., (2015). Depression is not a consistent syndrome: An investigation of unique symptom patterns in the STAR*D study. Journal of Affective Disorders, 172, 96–102.
• Friedman J., Hastie T., Tibshirani R., (2014). glasso: Graphical lasso: Estimation of Gaussian graphical models. http://www-stat.stanford.edu/∼tibs/glasso
• Fruchterman T. M. J., Reingold E. M., (1991). Graph drawing by force-directed placement. Software: Practice and Experience, 21(11), 1129–1164.
• Galderisi S., Rucci P., Kirkpatrick B., Mucci A., Gibertoni D., Rocca P., Rossi A., Bertolino A., Strauss G. P., Aguglia E., Bellomo A., Murri M. B., Bucci P., Carpiniello B., Comparelli A., Cuomo A., De Berardis D., Dell’Osso L., Di Fabio F., … Maj M., Italian Network for Research on Psychoses (2018). Interplay among psychopathologic variables, personal resources, context-related factors, and real-life functioning in individuals with schizophrenia: A network analysis. JAMA Psychiatry, 75(4), 396–404.
• Goldberg D., (2011). The heterogeneity of “major depression. World Psychiatry: Official Journal of the World Psychiatric Association (WPA), 10(3), 226–228.
• Hamilton M., (1960). A rating scale for depression. Journal of Neurology, Neurosurgery, and Psychiatry, 23, 56–62.
• Haslbeck J. M. B., Fried E. I., (2017). How predictable are symptoms in psychopathological networks? A reanalysis of 18 published datasets. Psychological Medicine, 47(16), 2767–2776.
• Haslbeck J. M. B., Waldorp L. J., (2016). mgm: Structure Estimation for Time-Varying Mixed Graphical Models in high-dimensional Data. arXiv preprint:1510.06871v2.
• Kalisch M., M¨Achler M., Colombo D., Maathuis M. H., Bühlmann P., (2012). Causal inference using graphical models with the R Package pcalg. Journal of Statistical Software, 47(11), 1–26.
• Lopez A. D., Mathers C. D., Ezzati M., Jamison D. T., and Murray C. J., (Eds.). (2006). Global burden of disease and risk factors. World Bank.
• McNally R. J., Mair P., Mugno B. L., Riemann B. C., (2017). Co-morbid obsessive–compulsive disorder and depression: A Bayesian network approach. Psychological Medicine, 47(7), 1204–1214.
• Moffa G., Catone G., Kuipers J., Kuipers E., Freeman D., Marwaha S., Lennox B. R., Broome M. R., Bebbington P., (2017). Using directed acyclic graphs in epidemiological research in psychosis: An analysis of the role of bullying in psychosis. Schizophrenia Bulletin, 43(6), 1273–1279.
• Mullarkey M. C., Marchetti I., Beevers C. G., (2019). Using network analysis to identify central symptoms of adolescent depression. Journal of Clinical Child and Adolescent Psychology: The Official Journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53, 48(4), 656–613.
• Robinaugh D., Haslbeck J. M. B., Waldorp L., Kossakowski J. J., Fried E. I., Millner A., … Borsboom D., (2019, May 29). Advancing the network theory of mental disorders: A computational model of panic disorder. https://doi.org/10.31234/osf.io/km37w
• Scutari M., (2010). Learning Bayesian networks with the bnlearn R Package. Journal of Statistical Software, 35(3), 1–22.
• Scutari M., Denis J.-B., (2014). Bayesian networks: With examples in R. CRC Press.
• Spirtes P., Glymour C., Scheines R., (1993). Discovery algorithms for causally sufficient structures. In Spirtes P., Glymour C., Scheines R., (Eds.), Causation, prediction, and search, lecture notes in statistics (pp. 103–162). Springer.
• St Quinton T., Stain H. J., (2020). A network approach to depressive disorders. Journal of Rational-Emotive & Cognitive-Behavior Therapy, 38(1), 1–13.
• van Borkulo C. D., Borsboom D., Epskamp S., Blanken T. F., Boschloo L., Schoevers R. A., Waldorp L. J., (2014). A new method for constructing networks from binary data. Scientific Reports, 4, 5918.
• van Borkulo C. D., Epskamp S., Millner A. J., (2016). NetworkComparisonTest: Statistical comparison of two networks based on three invariance measures. R package version, 2(1).
• Wichers M., (2014). The dynamic nature of depression: A new micro-level perspective of mental disorder that meets current challenges. Psychological Medicine, 44(7), 1349–1360.
• Zung W. W., (1965). A self-rating depression scale. Archives of General Psychiatry, 12, 63–70.