Publications of Timo von Oertzen

Journal Article (36)

2018
Journal Article
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
Journal Article
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
Journal Article
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
Journal Article
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
Journal Article
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
Journal Article
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
Journal Article
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
2014
Journal Article
von Oertzen, T., & Brick, T. R. (2014). Efficient Hessian computation using sparse matrix derivatives in RAM notation. Behavior Research Methods, 46(2), 385–395. https://doi.org/10.3758/s13428-013-0384-4
2013
Journal Article
Brandmaier, A. M., von Oertzen, T., McArdle, J. J., & Lindenberger, U. (2013). Structural equation model trees. Psychological Methods, 18, 71–86. https://doi.org/10.1037/a0030001
2012
Journal Article
Bodirsky, M., Jonsson, P., & von Oertzen, T. (2012). Horn versus full first-order: Complexity dichotomies in algebraic constraint satisfaction. Journal of Logic and Computation, 22(3), 643–660. https://doi.org/10.1093/logcom/exr011
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