Publications

(Pre-Print) Advancing the Network Theory of Mental Disorders: A Computational Model of Panic Disorder

Published in PsyArxiv, 2023

Pre-print here

Recommended citation: 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 https://psyarxiv.com/km37w/

Comorbidity between depression and anxiety: assessing the role of bridge mental states in dynamic psychological networks

Published in BMC Medicine, 2020

Recommended citation: 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. https://link.springer.com/article/10.1186/s12916-020-01738-z

A continuous time approach to intensive longitudinal data: What, Why and How

Published in Continuous Time Modeling in the Behavioral and Related Sciences, 2018

Recommended citation: 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. https://link.springer.com/chapter/10.1007/978-3-319-77219-6_2