Andreas Brandmaier

© private

Senior Research Scientist

Center for Lifespan Psychology


Phone: +49 30 82406-423

Short CV:

Dr. rer. nat., 2011, Saarland University (UdS)
Dipl.-Inform. Univ., 2008, University of Technology, Munich (TUM)

IMPRS COMP2PSYCH Faculty member


Main Focus:

  • Brain-behavior relations across the lifespan
  • Multivariate developmental methodology
  • Formal models of behavioral change
  • Machine learning and data mining
  • Statistical and algorithmic modelling

Selected Literature:

Brandmaier, A. M., Ghisletta, P., & von Oertzen, T. (2020). Optimal planned missing data design for linear latent growth curve models. Behavior Research Methods, 52, 1445–1458.
Brandmaier, A. M., Wenger, E., Bodammer, N. C., Kühn, S., Raz, N., & Lindenberger, U. (2018). Assessing reliability in neuroimaging research through intra-class effect decomposition (ICED). eLife, 7, Article e35718.
Brandmaier, A. M., Prindle, J. J., McArdle, J. J., & Lindenberger, U. (2016). Theory-guided exploration with structural equation model forests. Psychological Methods, 21(4), 566–582.
Freund, J., Brandmaier, A. M., Lewejohann, L., Kirste, I., Kritzler, M., Krüger, A., Sachser, N., Lindenberger, U., & Kempermann, G. (2013). Emergence of individuality in genetically identical mice. Science, 340(6133), 756–759.
Brandmaier, A. M., von Oertzen, T., McArdle, J. J., & Lindenberger, U. (2013). Structural equation model trees. Psychological Methods, 18, 71–86.




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