lindabetz / network_life_events_psychosis

Code for "General Psychopathology Links Burden of Recent Life Events and Psychotic Symptoms in a Network Approach", npj Schizophrenia, 2020.

Life Events and Psychosis: A Network Approach

R-code for analyses described in "General Psychopathology Links Burden of Recent Life Events and Psychotic Symptoms in a Network Approach" by Linda T. Betz & Nora Penzel, Lana Kambeitz-Ilankovic, Marlene Rosen, Katharine Chisholm, Alexandra Stainton, Theresa K. Haidl, Julian Wenzel, Alessandro Bertolino, Stefan Borgwardt, Paolo Brambilla, Rebekka Lencer, Eva Meisenzahl, Stephan Ruhrmann, Raimo K.R. Salokangas, Frauke Schultze-Lutter, Stephen J. Wood, Rachel Upthegrove, Nikolaos Koutsouleris, Joseph Kambeitz and the PRONIA consortium. npj Schizophrenia, 2020.

Patient-data used in this project come from the ongoing Personalised Prognostic Tools for Early Psychosis Management (PRONIA) study (www.pronia.eu) and are currently not publicly available.

Linda T. Betz & Nora Penzel are shared first authors and have conceptualized the code for the analyses. Life events were assessed via the Cologne Chart of Life Events (CoLE), and symptom ratings were obtained from the Positive and Negative Syndrome Scale (PANSS). Details on the analytic approach can be found in the published article.

For a thorough methodological account of the statistical network models used in this project, please refer to:

• Epskamp, S., Waldorp, L. J., Mõttus, R., & Borsboom, D. (2018). The Gaussian graphical model in cross-sectional and time-series data. Multivariate Behavioral Research, 53(4), 453-480.
• Epskamp, S. (2020). Psychometric network models from time-series and panel data. Psychometrika, 85(1), 1-26.

In case of questions, please do not hesitate to contact us ([email protected], [email protected]).