Publikationen von Andreas M. Brandmaier

Hochschulschrift - Master (2)

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

Forschungspapier (2)

2017
Forschungspapier
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
Forschungspapier
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)

2022
Preprint
Ernst, M. S., Peikert, A., Brandmaier, A. M., & Rosseel, Y. (2022). A note on the connection between trek rules and separable nonlinear least squares in linear structural equation models. PsyArXiv, 7 February 2022. https://doi.org/10.31234/osf.io/b6uxm
Preprint
Fjell, A. M., Sørensen, Ø., Wang, Y., Amlien, I. K., Baaré, W. F. C., Bartrés-Faz, D., Bertram, L., Boraxbekk, C.-J., Brandmaier, A. M., Demuth, I., Drevon, C. A., Ebmeier, K. P., Ghisletta, P., Kievit, R., Kühn, S., Madsen, K. S., Mowinckel, A. M., Nyberg, L., Sexton, C. E., Solé-Padullés, C., Vidal-Piñeiro, D., Wagner, G., Watne, L. O., & Walhovd, K. B. (2022). Sleep duration and brain structure: Phenotypic associations and genotypic covariance. BioRxiv, 17th February 2022. https://doi.org/10.1101/2022.02.15.480501
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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