Andreas Brandmaier

 
© private

Senior Research Scientist

Center for Lifespan Psychology

Publications

Contact:
Phone: +49 30 82406-423
E-mail: brandmaier@mpib-berlin.mpg.de

Short CV:

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

IMPRS COMP2PSYCH Faculty member


Projects:


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. https://doi.org/10.3758/s13428-019-01325-y
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. https://doi.org/10.7554/eLife.35718
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. https://doi.org/10.1037/met0000090
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. https://doi.org/10.1126/science.1235294
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

 

 

 

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