Publications of Andreas M. Brandmaier

Journal Article (62)

2013
Journal Article
von Oertzen, T., & Brandmaier, A. M. (2013). Optimal study design with identical power: An application of power equivalence to latent growth curve models. Psychology and Aging, 28(2), 414–428. https://doi.org/10.1037/a0031844
2012
Journal Article
Wrzus, C., Brandmaier, A. M., von Oertzen, T., Müller, V., Wagner, G. G., & Riediger, M. (2012). A new approach for assessing sleep duration and postures from ambulatory accelerometry. PLoS ONE, 7(10), Article e48089. https://doi.org/10.1371/journal.pone.0048089

Book Chapter (5)

2023
Book Chapter
Brandmaier, A. M. (in press). Machine learning for mobile sensing data. In M. Mehl, M. Eid, C. Wrzus, G. Harari, & U. Ebner-Priemer (Eds.), Mobile sensing in psychology: Methods and applications. Guilford Press.
Book Chapter
Brandmaier, A. M. (in press). Big data dimensionality reduction. In M. Mehl, M. Eid, C. Wrzus, G. Harari, & U. Ebner-Priemer (Eds.), Mobile sensing in psychology: Methods and applications. Guilford Press.
Book Chapter
Brandmaier, A. M., & Jacobucci, R. C. (2023). Machine learning approaches to structural equation modeling. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (2nd ed., pp. 722–739). Guilford Press.
2018
Book Chapter
Brandmaier, A. M., Driver, C. C., & Voelkle, M. C. (2018). Recursive partitioning in continuous time analysis. In K. van Montfort, J. H. L. Oud, & M. C. Voelkle (Eds.), Continuous time modeling in the behavioral and related sciences (pp. 259–282). Springer.
2014
Book Chapter
Brandmaier, A. M., von Oertzen, T., McArdle, J. J., & Lindenberger, U. (2014). Exploratory data mining with structural equation model trees. In J. J. McArdle & G. Ritschard (Eds.), Contemporary issues in exploratory data mining in the behavioral sciences (pp. 96–127). Routledge.

Thesis - PhD (1)

2011
Thesis - PhD
Brandmaier, A. M. (2011). Permutation distribution clustering and structural equation model trees [PhD Thesis, Universität des Saarlandes Saarbrücken].

Thesis - Master (2)

2020
Thesis - Master
Peikert, A. (2020). Reproducibility made simple: Automating reproducible research workflows [Master's Thesis, Humboldt-Universität zu Berlin].
2017
Thesis - Master
Krause, M. (2017). Decoding digit representations from EEG data [Master's Thesis, Freie Universität Berlin].
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