This paper is in the following e-collection/theme issue:

Depression and Mood Disorders; Suicide Prevention (1283) mHealth for Data Collection and Research (915) Digital Biomarkers and Digital Phenotyping (178) Mental Health Surveillance and Epidemiology (52) Longitudinal and Cohort Studies in Public Health (264) Secondary Use of Clinical Data for Research and Surveillance (321) New Methods (909)

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

Authors of this article:

Björn Sebastian Siepe1 Author Orcid Image ;   Christian Sander2, 3 Author Orcid Image ;   Martin Schultze4 Author Orcid Image ;   Andreas Kliem5 Author Orcid Image ;   Sascha Ludwig6 Author Orcid Image ;   Ulrich Hegerl7, 8 Author Orcid Image ;   Hanna Reich2, 8 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Westhoff M, Berg M, Reif A, Rief W, Hofmann S. Major Problems in Clinical Psychological Science and How to Address them. Introducing a Multimodal Dynamical Network Approach. Cognitive Therapy and Research 2024 View