APS

30th APS Annual Convention

New Computational Methods Drive New Ideas About Psychopathology and Resilience

Friday, May 25, 2018 · San Francisco, CA

Oral · Clinical Science

Advances in computational methodology have stimulated new research and new ideas about resilience and psychopathology. This symposium reviews four examples: Bayesian network models of psychopathology, latent trajectory models, nonparametric multivariate approaches to psychopathology and resilience, and a machine learning approach to prediction of psychopathological responses to potential trauma

Chairs & Discussants

  • George BonannoChair
    Columbia University

Presentations

  1. Bayesian Network Analyses of Symptoms in Patients with Bipolar DisorderRichard McNally, Donald Robinaugh, Samantha Walsh, Benjamin Shapero, Andrew Nierenberg
  2. Genetic and Health Correlates of Trajectories of Resilience and DysfunctionGeorge Bonanno
  3. Multidimensional Resilience Following Adversity: A Nonparametric Multivariate ApproachKan Long
  4. The Application of Machine Learning to Forecast Risk and Resilience to Potential TraumaIsaac Galatzer-Levy