Publications of Andreas M. Brandmaier

Journal Article (41)

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

Thesis - PhD (1)

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

Working Paper (2)

2017
Working Paper
Brandmaier, A. M., Ram, N., Wagner, G. G., & Gerstorf, D. (2017). Terminal decline in well-being: The role of multi-indicator constellations of physical health and psychosocial correlates (SOEPpapers on Multidisciplinary Panel Data Research No. 912). DIW.
2012
Working Paper
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 (SOEPpapers on Multidisciplinary Panel Data Research No. 507).

Preprint (3)

2021
Preprint
Peikert, A., van Lissa, C. J., & Brandmaier, A. M. (2021). Reproducible research in R: A tutorial on how to do the same thing more than once. PsyArXiv, 9 August 2021. https://doi.org/10.31234/osf.io/fwxs4
Preprint
Wenger, E., Polk, S. E., Kleemeyer, M. M., Weiskopf, N., Bodammer, N. C., Lindenberger, U., & Brandmaier, A. M. (2021). Reliability of quantitative multiparameter maps is high for MT and PD but attenuated for R1 and R2* in healthy young adults. BioRxiv, 467254 . https://doi.org/10.1101/2021.11.10.467254
2019
Preprint
Boker, S. M., von Oertzen, T., & Brandmaier, A. M. (2019). Products of variables in structural equation models: Multiplicative reticular action models. PsyArXiv, 6 September 2019. https://doi.org/10.31234/osf.io/36y9n

Software (2)

2017
Software
Brandmaier, A. M. (2017). Recursive partitioning for Structural Equation Models [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.1116294
Software
Brandmaier, A. M. (2017). pdc: An R package for complexity-based clustering of time series [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.1116256
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