Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50136, first published .
Time-Varying Network Models for the Temporal Dynamics of Depressive Symptomatology in Patients With Depressive Disorders: Secondary Analysis of Longitudinal Observational Data

Time-Varying Network Models for the Temporal Dynamics of Depressive Symptomatology in Patients With Depressive Disorders: Secondary Analysis of Longitudinal Observational Data

Time-Varying Network Models for the Temporal Dynamics of Depressive Symptomatology in Patients With Depressive Disorders: Secondary Analysis of Longitudinal Observational Data

Björn Sebastian Siepe   1 , MSc ;   Christian Sander   2, 3 , PhD ;   Martin Schultze   4 , Prof Dr ;   Andreas Kliem   5 , PhD ;   Sascha Ludwig   6 , MSc ;   Ulrich Hegerl   7, 8 , Prof Dr ;   Hanna Reich   2, 8 , PhD

1 Psychological Methods Lab, Department of Psychology, University of Marburg, Marburg, Germany

2 German Depression Foundation, Leipzig, Germany

3 Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Leipzig, Germany

4 Department of Psychology, Goethe University, Frankfurt, Germany

5 Adesso SE, Dortmund, Germany

6 Institute for Applied Informatics, University Leipzig, Leipzig, Germany

7 Department for Psychiatry, Psychosomatics and Psychotherapy, Goethe University, Frankfurt, Germany

8 Depression Research Center of the German Depression Foundation, Department for Psychiatry, Psychosomatics and Psychotherapy, Goethe University, Frankfurt, Germany

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