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APS

29th APS Annual Convention

Cross-Sectional and Time-Series Network Models for Psychopathology: An Overview of Challenges and Future Directions

Sunday, May 28, 2017 · Boston, MA

Methodology

This symposium first discusses strengths, limitations, and future directions of state-of-the-art network models for cross-sectional and intensive longitudinal data. We then introduce two novel developments: how to optimally control and manipulate networks; and predictability, a metric of how much variance of a node is explained by its neighbours.

Chairs & Discussants

  • Denny BorsboomChair
    University of Amsterdam
  • Denny BorsboomDiscussant
    University of Amsterdam

Presentations

  1. Regularized Partial Correlation Networks for Modeling Psychopathology Data: Strengths, Limitations, and Future Directions Eiko Fried
  2. Multilevel Autoregressive Modeling of Intensive Longitudinal Data: Two CaveatsNoémi Schuurman
  3. Transforming Mutations into Models: Inferring Causal Networks from Experimental DataJolanda Kossakowski
  4. How Predictable Are Symptoms in Psychopathological Networks? a Reanalysis of 17 Published DatasetsJonas Haslbeck, Lourens Waldorp, Eiko Fried