Hepper, E. G., Wildschut, T., Sedikides, C., Ritchie, T. D., Yung, Y. F., Hansen, N.,...Ryan, O., & Stephan, E. & Vingerhoets, A. J. J. (2014). Pancultural Nostalgia: Prototypical Conceptions Across Cultures. Emotion, 14(4).
van de Schoot, R., Winter, S. D., Ryan, O., Zondervan-Zwijnenburg, M., & Depaoli, S. (2017). A systematic review of Bayesian articles in psychology: The last 25 years. Psychological Methods, 22(2), 217-239.
Ryan, O., Kuiper, R. M., & Hamaker, E. L. (2018). A Continuous Time Approach to Intensive Longitudinal Data: What, Why and How? In In K. v. Montfort, J. H. L. Oud, & M. C. Voelkle (Eds.), Continuous Time Modeling in the Behavioral and Related Sciences. Springer, Cham.
Bastiaansen, J.A., Kunkels, Y. K., ... Ryan, O., ... Albers, C.J., & Bringmann, L.F.
Kuiper, R. M., & Ryan, O. (2018). Drawing conclusions from cross-lagged relationships: Re-considering the role of the time-interval. Structural Equation Modeling: A Multidisciplinary Journal, 25(5), 809-823.
Kuiper, R. M., & Ryan, O. (2020). Meta-analysis of lagged regression models: A continuous-time approach. Structural Equation Modeling: A Multidisciplinary Journal, 27(3), 396-413.
Hamaker, E. L., & Ryan, O. (2019). A squared standard error is not a measure of individual differences. Proceedings of the National Academy of Sciences, 116(14), 6544-6545.
Dablander, F.*, Ryan, O.*, & Haslbeck, J. M. B* (2020). Choosing between AR (1) and VAR (1) models in typical psychological applications. PloS one, 15(10), e0240730.
Groen, R. N., Ryan, O., Wigman, J. T., Riese, H., Penninx, B. W., Giltay, E. J., Wichers, M. & Hartman, C. A. (2020). Comorbidity between depression and anxiety: assessing the role of bridge mental states in dynamic psychological networks. BMC medicine, 18(1), 1-17.
Haslbeck, J. M.B * & Ryan, O.* (2021). Recovering within-person dynamics from psychological time series. Multivariate Behavioral Research, 57:5, 735-766.
Robinaugh, D. J., Haslbeck, J. M. B, Ryan, O., Fried, E. I., & Waldorp, L. J. (2021). Invisible hands and fine calipers: A call to use formal theory as a toolkit for theory construction. Perspectives on Psychological Science, 16(4), 725-743.
Haslbeck, J.M.B.* , Ryan, O.*, Robinaugh, D. J.* , Waldorp, L. J., & Borsboom, D. (2021). Modeling psychopathology: From data models to formal theories. Psychological Methods.
Haslbeck, J.M.B*, Ryan, O.*, & Dablander, F.* (2021). The sum of all fears: Comparing networks based on symptom sum-scores. Psychological Methods.
Haslbeck, J. M.B, Ryan, O., van der Maas, H. L., & Waldorp, L. J. Modeling Change in Networks. In A.M Isvoranu, S. Epskamp, L.J. Waldorp and D. Borsboom (eds.) Network Psychometrics with R (pp. 193-209). Routledge, New York
Ryan, O., & Hamaker, E. L. (2022). Time to intervene: A continuous-time approach to network analysis and centrality. Psychometrika, 87(1), 214–252
Ryan, O., Bringmann, L. F., & Schuurman, N. K. (2022). The Challenge of Generating Causal Hypotheses Using Network Models. Structural Equation Modeling: A Multidisciplinary Journal.
Ryan, O.*, & Dablander, F.* (2022, Nov 2). Equilibrium Causal Models: Connecting Dynamical Systems Modeling and Cross-Sectional Data Analysis
Spit, S., Andringa, S. & Ryan, O. (2022, Nov 11). Investigating the relation between second language proficiency and study success using a causal inference approach
Haqiqatkhah, M. M., Ryan, O., & Hamaker, E.L. (2022, November 26). Skewness and staging: Does the floor effect induce bias in multilevel AR (1) models?
Robinaugh, D.J, Haslbeck, J. M. B., Waldorp, L., Kossakowski, J. J., Fried, E. I., Millner, A., McNally, R.J., Ryan, O., de Ron, J., van der Maas, H.L.J., van Nes, E.H., Scheffer, M., Kendler, K.S., & Borsboom, D. (2023, Feb 18). Advancing the Network Theory of Mental Disorders: A Computational Model of Panic Disorder
Ryan, O.*, Dablander, F.* & Haslbeck, J.M.B* (2023) Towards a Generative Model for Emotion Dynamics
Coppersmith, D. D.L, Ryan, O., Fortgang, R.G., Millner, A.J, Kleiman, E.M, & Nock, M.K (2023) Mapping the Timescale of Suicidal Thinking. Proceedings of the National Academy of Sciences. 120(17), e2215434120
Haslbeck, J.M.B*, Ryan, O.*, & Dablander, F.*. Multimodality and Skewness in Emotion Time Series. Emotion. Advance Online Publication
Ryan, O., Haslbeck, J.M.B & Waldorp, L.J. (2023) Non-Stationarity in Time-Series Analysis: Modeling Stochastic and Deterministic Trends
Talk at International Convention of Psychological Science (ICPS), Vienna, Austria
Talk at 5th conference of the Society for Ambulatory Assessment (SAA 2017), Esch-sur-Alzette, Luxembourg
Talk at International Meeting of the Psychometric Society (IMPS), Zurich, Switzerland
Talk at 9th Lab Meeting Dynamical Networks and Time Series Models (DynaNet), Amsterdam, NL
Talk at 30th Association for Psychological Science (APS) Annual Convention, San Francisco, USA
Talk at Conference on Complex Systems (CCS), Thessaloniki, Greece
Talk at McNally Lab, Harvard Psychology Department (Invited talk), Cambridge, MA, USA"
Talk at 9th European Congress of Methodology (EAM), Valencia, Spain
Talk at 9th European Congress of Methodology (EAM), Valencia, Spain
Talk at Workshop From Data to Causes: Perspectives on Causation from Psychology, Physics, and Dynamical Systems., Berlin
Talk at Methodology & Statistics Colloquium, Utrecht, NL
Talk at Young Statisticians Statistics Cafe, Utrecht, NL
Talk at DynaNet, Amsterdam, NL
Talk at Epidemiology Methods meeting, UMC Utrecht, NL
Talk at CMstatistics 2022, London, UK
Talk at Society Ambulatory Assessment 2023, Amsterdam, NL