Eiko I Fried, Ph.D
Affiliations: | 2018- | Clinical Psychology | Leiden University, Leiden, Netherlands |
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Publications
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| Kivelä LMM, Antypa N, Fried EI, et al. (2023) Suicidal ideation across depressive episodes: 9-year longitudinal cohort study. Bjpsych Open. 9: e218 |
| Günak MM, Ebrahimi OV, Pietrzak RH, et al. (2023) Using network models to explore the associations between posttraumatic stress disorder symptoms and subjective cognitive functioning. Journal of Anxiety Disorders. 99: 102768 |
| Blendermann M, Ebalu TI, Obisie-Orlu IC, et al. (2023) A narrative systematic review of changes in mental health symptoms from before to during the COVID-19 pandemic. Psychological Medicine. 1-24 |
| McBride O, van Bezooijen J, Aggen SH, et al. (2023) Quantifying skip-out information loss when assessing major depression symptoms. Journal of Psychopathology and Clinical Science |
| Hansen M, Armour C, McGlinchey E, et al. (2022) Investigating the DSM-5 and the ICD-11 PTSD symptoms using network analysis across two distinct samples. Psychological Trauma : Theory, Research, Practice and Policy |
| Roefs A, Fried EI, Kindt M, et al. (2022) A new science of mental disorders: Using personalised, transdiagnostic, dynamical systems to understand, model, diagnose and treat psychopathology. Behaviour Research and Therapy. 153: 104096 |
| Lorenzo-Luaces L, Buss JF, Fried EI. (2021) Heterogeneity in major depression and its melancholic and atypical specifiers: a secondary analysis of STAR*D. Bmc Psychiatry. 21: 454 |
| Buckman JEJ, Cohen ZD, O'Driscoll C, et al. (2021) Predicting prognosis for adults with depression using individual symptom data: a comparison of modelling approaches. Psychological Medicine. 1-11 |
| O'Driscoll C, Buckman JEJ, Fried EI, et al. (2021) The importance of transdiagnostic symptom level assessment to understanding prognosis for depressed adults: analysis of data from six randomised control trials. Bmc Medicine. 19: 109 |
| de Ron J, Fried EI, Epskamp S. (2021) Psychological networks in clinical populations: investigating the consequences of Berkson's bias. Psychological Medicine. 51: 168-176 |