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Results: 82
Number of items: 82
  • Open Access
    van Elteren, C., Quax, R., & Sloot, P. (2022). Dynamic importance of network nodes is poorly predicted by static structural features. Physica A : Statistical Mechanics and its Applications, 593, Article 126889. https://doi.org/10.1016/j.physa.2022.126889
  • Open Access
    Bruggeman, J., Sprik, R., & Quax, R. (2021). Spontaneous cooperation for public goods. Journal of Mathematical Sociology, 45(3), 183-191. https://doi.org/10.1080/0022250X.2020.1756285
  • Open Access
    Weinans, E., Quax, R., van Nes, E. H., & van de Leemput, I. A. (2021). Evaluating the performance of multivariate indicators of resilience loss. Scientific Reports, 11, Article 9148. https://doi.org/10.1038/s41598-021-87839-y
  • Uleman, J. F., Quax, R., Melis, R. J. F., Hoekstra, A., & Olde Rikkert, M. G. M. (2021). An individualized systems model to optimize Alzheimer’s disease prevention strategies. Alzheimer's & Dementia, 17(S10), Article e050885. https://doi.org/10.1002/alz.050885
  • Open Access
    Crielaard, L., Nicolaou, M., Sawyer, A., Quax, R., & Stronks, K. (2021). Understanding the impact of exposure to adverse socioeconomic conditions on chronic stress from a complexity science perspective. BMC Medicine, 19, Article 242. https://doi.org/10.1186/s12916-021-02106-1
  • Open Access
    Dutta, P., Quax, R., Crielaard, L., Badiali, L., & Sloot, P. M. A. (2021). Inferring temporal dynamics from cross-sectional data using Langevin dynamics. Royal Society Open Science, 8(11), Article 211374. https://doi.org/10.1098/rsos.211374
  • Open Access
    Uleman, J. F., Melis, R. J. F., Quax, R., van der Zee, E. A., Thijssen, D., Dresler, M., van de Rest, O., van der Velpen, I. F., Adams, H. H. H., Schmand, B., de Kok, I. M. C. M., de Bresser, J., Richard, E., Verbeek, M., Hoekstra, A. G., Rouwette, E. A. J. A., & Olde Rikkert, M. G. M. (2021). Mapping the multicausality of Alzheimer’s disease through group model building. GeroScience, 43(2), 829–843. https://doi.org/10.1007/s11357-020-00228-7
  • Burger-, J., Van Der Veen, D. C., Robinaugh, D. J., Quax, R., Riese, H., Schoevers, R. A., & Epskamp, S. (2020). Additional file 2 of Bridging the gap between complexity science and clinical practice by formalizing idiographic theories: a computational model of functional analysis [Data set]. Figshare. https://doi.org/10.6084/m9.figshare.12511526.v1
  • Presbitero, A., Quax, R., Krzhizhanovskaya, V. V., & Sloot, P. M. A. (2020). Detecting critical transitions in the human innate immune system post-cardiac surgery. In V. V. Krzhizhanovskaya, G. Závodszky, M. H. Lees, J. J. Dongarra, P. M. A. Sloot, S. Brissos, & J. Teixeira (Eds.), Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020 : proceedings (Vol. I, pp. 371-384). (Lecture Notes in Computer Science; Vol. 12137). Springer. https://doi.org/10.1007/978-3-030-50371-0_27
  • Open Access
    Crielaard, L., Dutta, P., Quax, R., Nicolaou, M., Merabet, N., Stronks, K., & Sloot, P. M. A. (2020). Social norms and obesity prevalence: From cohort to system dynamics models. Obesity Reviews, 21(9), Article e13044. https://doi.org/10.1111/obr.13044
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