Search results
Results: 77
Number of items: 77
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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 -
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 -
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
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Uleman, J., Melis, R. J. F., Hoekstra, A., Quax, R., & Olde Rikkert, M. G. M. (2020). Uncovering the multicausality of Alzheimer’s disease: A systems modeling approach: Epidemiology/Risk and protective factors in MCI and dementia. Alzheimer's & Dementia, 16(S10), Article e041105. https://doi.org/10.1002/alz.041105
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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
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Har-Shemesh, O., Quax, R., Lansing, J. S., & Sloot, P. M. A. (2020). Questionnaire data analysis using information geometry. Scientific Reports, 10, Article 8633. https://doi.org/10.1038/s41598-020-63760-8 -
Burger, J., van der Veen, D. C., Robinaugh, D. J., Quax, R., Riese, H., Schoevers, R. A., & Epskamp, S. (2020). Bridging the gap between complexity science and clinical practice by formalizing idiographic theories: a computational model of functional analysis. BMC Medicine, 18, Article 99. https://doi.org/10.1186/s12916-020-01558-1 -
Lever, J. J., van de Leemput, I. A., Weinans, E., Quax, R., Dakos, V., van Nes, E. H., Bascompte, J., & Scheffer, M. (2020). Foreseeing the future of mutualistic communities beyond collapse. Ecology Letters, 23(1), 2-15. https://doi.org/10.1111/ele.13401 -
Nannes, B., Quax, R., Ashikaga, H., Hocini, M., Dubois, R., Bernus, O., & Haïssaguerre, M. (2020). Early signs of critical slowing down in heart surface electrograms of ventricular fibrillation victims. 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. IV, pp. 334-347). (Lecture Notes in Computer Science; Vol. 12140). Springer. https://doi.org/10.1007/978-3-030-50423-6_25 -
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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