Conference presentations

Ryan, O. & Haslbeck, J.M.B (2018) Challenges in characterizing psychopathologies as unhealthy dynamic systems. Conference on Complex Systems (CCS), Thessaloniki, Greece. [Slides]

Ryan, O. & Hamaker, E.L. (2018) Centrality and Interventions in Continuous-Time Dynamical Networks. 30th Association for Psychological Science (APS) Annual Convention. San Francisco, USA. [Slides]

Ryan, O., Bringmann, L.F. & Schuurman, N.K. (2017) Partial Correlation Networks and DAGs: The causal skeleton in the closet. 9th Lab Meeting Dynamical Networks and Time Series Models, Amsterdam, The Netherlands. [Slides]

Ryan, O. (2017) Interpretation and Identification of path-specific effects in CT-VAR(1) models. International Meeting of the Psychometric Society (IMPS), Zurich, Switzerland. [Slides]

Ryan, O. (2017) Mediation and Causal Mechanism: A continuous-time approach. 8th Mplus Users Meeting, Utrecht, The Netherlands. [Slides]

Ryan, O. & Hamaker, E.L. (2017) Dynamical Network Analysis: A continuous-time approach. 5th conference of the Society for Ambulatory Assessment (SAA 2017), Esch-sur-Alzette, Luxembourg. [Slides]

Ryan, O. (2017) Mediation and Causal Mechanisms: A continuous-time approach. International Convention of Psychological Science (ICPS), Vienna, Austria. [Slides]

Ryan, O. (2016) Mediation and path-specific effects in continuous-time VAR(1) models. Dynamical Systems Modeling Expert Meeting, (EHPS/DHP 2016), Aberdeen, Scotland. [Slides]

Ryan, O. (2016) Mediation, Time and Causality: Lessons from Continuous-Time Modeling. Interuniversity Graduate School of Psychometrics and Sociometrics (IOPS) 31st Summer Conference, Twente, The Netherlands. [Slides]

Invited presentations and workshops

Ryan, O. (17 & 18 March 2021). Introduction to Dynamic Structural Equation Modeling. Peer Mentoring Projekt Methoden und Statistik (MuSt), Psychological Instititute, University of Zurich. [Slides Day 1: Panel Data][Slides Day 2: Single-Subject and Multilevel Time-Series]

Ryan, O. (6th May 2019). Mapping Statistical Models to Causal Structures. McNally Laboratory, Department of Psychology, Harvard Univeristy [Slides]

Ryan, O. (6th Dec 2018) Continuous-time VAR(1) models: What, Why and How? iLab, University Centre for Psychiatry, University Medical Centre Groningen [Slides]

Ryan, O. (2018) Dynamic Structural Equation Modeling of Intensive Longitudinal Data. Longitudinal Data Analysis meeting, Dynamics of Youth project, Utrecht University. [Slides]

Ryan, O. (2018) Introduction to Continuous-Time VAR(1) models. ERC skills meeting, Interdisciplinary Center Psychopathology and Emotion regulation (ICPE), Department of Psychiatry, University Medical Centre Groningen. [Slides] [Example Code]

Ryan, O. (2018) Causal inference with the PC algorithm. Methods and Statistics Data Science Lab (MSDSLab), Utrecht University. [Slides] [Extra Materials]

Ryan, O. (2017) Introduction to Continuous-Time VAR(1) models. Psychological Networks Amsterdam Summer School, University of Amsterdam, The Netherlands. [Slides]