Publikationen von Timo von Oertzen

Zeitschriftenartikel (43)

2019
Zeitschriftenartikel
Müller, V., Jirsa, V., Perdikis, D., Sleimen-Malkoun, R., von Oertzen, T., & Lindenberger, U. (2019). Lifespan changes in network structure and network topology dynamics during rest and auditory oddball performance. Frontiers in Aging Neuroscience, 11, Article 138. https://doi.org/10.3389/fnagi.2019.00138
2018
Zeitschriftenartikel
Brandmaier, A. M., von Oertzen, T., Ghisletta, P., Lindenberger, U., & Hertzog, C. (2018). Precision, reliability, and effect size of slope variance in latent growth curve models: Implications for statistical power analysis. Frontiers in Psychology, 9, Article 294. https://doi.org/10.3389/fpsyg.2018.00294
Zeitschriftenartikel
Glassen, T. J., von Oertzen, T., & Konovalov, D. A. (2018). Finding the mean in a partition distribution. BMC Bioinformatics, 19, Article 375. https://doi.org/10.1186/s12859-018-2359-z
2017
Zeitschriftenartikel
Szymanski, C., Müller, V., Brick, T. R., von Oertzen, T., & Lindenberger, U. (2017). Hyper-transcranial alternating current stimulation: Experimental manipulation of inter-brain synchrony. Frontiers in Human Neuroscience, 11, Article 539. https://doi.org/10.3389/fnhum.2017.00539
2016
Zeitschriftenartikel
Müller, V., Perdikis, D., von Oertzen, T., Sleimen-Malkoun, R., Jirsa, V., & Lindenberger, U. (2016). Structure and topology dynamics of hyper-frequency networks during rest and auditory oddball performance. Frontiers in Computational Neuroscience, 10, Article 108. https://doi.org/10.3389/fncom.2016.00108
2015
Zeitschriftenartikel
Boker, S., Brick, T., Pritkin, J. N., Wang, Y., von Oertzen, T., Brown, D., Lach, J., Estabrook, R., Hunter, M. D., Maes, H. H., & Neale, M. C. (2015). Maintained Individual Data Distributed Likelihood Estimation (MIDDLE). Behavior Research Methods, 50(6), 706–720. https://doi.org/10.1080/00273171.2015.1094387
Zeitschriftenartikel
Brandmaier, A. M., von Oertzen, T., Ghisletta, P., Hertzog, C., & Lindenberger, U. (2015). LIFESPAN: A tool for the computer-aided design of longitudinal studies. Frontiers in Psychology, 6, Article 272. https://doi.org/10.3389/fpsyg.2015.00272
Zeitschriftenartikel
Karch, J. D., Sander, M. C., von Oertzen, T., Brandmaier, A. M., & Werkle-Bergner, M. (2015). Using within-subject pattern classification to understand lifespan age differences in oscillatory mechanisms of working memory selection and maintenance. NeuroImage, 118, 538–552. https://doi.org/10.1016/j.neuroimage.2015.04.038
Zeitschriftenartikel
Martin, D. P., & von Oertzen, T. (2015). Growth mixture modeling outperform simpler clustering algorithms when detecting longitudinal heterogeneity, even with small sample sizes. Structural Equation Modeling, 22(2), 264–275. https://doi.org/10.1080/10705511.2014.936340
Zeitschriftenartikel
von Oertzen, T., Brandmaier, A. M., & Tsang, S. (2015). Structural equation modeling with Ωnyx. Structural Equation Modeling, 22(1), 148–161. https://doi.org/10.1080/10705511.2014.935842
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