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Andreas Brandmaier

© private
Senior Researcher
+49 30 82406-423
brandmaier [at] mpib-berlin [dot] mpg [dot] de
208

Short CV: 

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

IMPRS COMP2PSYCH Faculty member

Project participation: 

Research Interests: 
  • 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., Prindle, J. J., McArdle, J. J., & Lindenberger, U. (2016). Theory-guided exploration with structural equation model forests. Psychological Methods, 21, 566–582. doi: 10.1037/ met0000090

Brandmaier, A. M., von Oertzen, T., Ghisletta, P., Hertzog, C., & Lindenberger, U. (2015). LIFESPAN: A tool for the computer-aided design of longitudinal studies. Frontiers in Psychology, 6: 272. doi: 10.3389/fpsyg.2015.00272

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. Science340(6133), 756-759. doi:10.1126/science.1235294

Brandmaier, A. M., Oertzen, T. v., McArdle, J. J., & Lindenberger, U. (2013). Structural equation model trees. Psychological Methods18, 71-86. doi: 10.1037/a0030001

open all Curriculum Vitae

zuklappen Publications

Jacobucci, R., Brandmaier, A. M., & Kievit, R. A. (in press). A practical guide to variable selection in structural equation models with regularized MIMIC models. Advances in Methods and Practices in Psychological Science.
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Arnold, M., Oberski, D. L., Brandmaier, A. M., & Voelkle, M. C. (2019). Heterogeneity in dynamic panel models with individual parameter contribution regression. PsyArXiv, 3 February 2019. doi:10.31234/osf.io/sbyux
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Tucker-Drob, E. M., Brandmaier, A. M., & Lindenberger, U. (2019). Coupled cognitive changes in adulthood: A meta-analysis. Psychological Bulletin. Advance online publication. doi:10.1037/bul0000179
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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). Cham: Springer.

Brandmaier, A. M., von Oertzen, T., Ghisletta, P., Lindenberger, U., & Hertzog, C. (2018). Precision, reliability, and effect size of slope variance in latent growth curve models: Implications for statistical power analysis. Frontiers in Psychology, 9:294. doi:10.3389/fpsyg.2018.00294
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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:e35718. doi:10.7554/eLife.35718
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Fitzgerald, C. E., Estabrook, R., Martin, D. P., Brandmaier, A. M., & von Oertzen, T. (2018). Correcting the bias of the root mean squared error of approximation under missing data. PsyArXiv, 8 May 2018. doi:10.17605/OSF.IO/8ETXA
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Karch, J. D., Brandmaier, A. M., & Voelkle, M. C. (2018). Gaussian process panel modeling - Kernel-based longitudinal modeling [Version posted online December 8, 2017; Last edited: July 2, 2018]. PsyArXiv, 2 July 2018. doi:10.31234/osf.io/kvw5y
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Kievit, R., Brandmaier, A., Ziegler, G., van Harmelen, A.-L., de Mooij, S., Moutoussis, M., Goodyer, I., Bullmore, E., Jones, P., Fonagy, P., the Neuroscience in Psychiatry Network (NSPN) Consortium, Lindenberger, U., & Dolan, R. J. (2018). Developmental cognitive neuroscience using latent change score models: A tutorial and applications. Developmental Cognitive Neuroscience, 33, 99-117. doi:10.1016/j.dcn.2017.11.007
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Walhovd, K. B., Fjell, A. M., Westerhausen, R., Nyberg, L., Ebmeier, K. P., Lindenberger, U., Bartrés-Faz, D., Baaré, W. F. C., Siebner, H. R., Henson, R., Drevon, C. A., Strømstad Knudsen, G. P., Budin Ljøsne, I., Penninx, B. W. J. H., Ghisletta, P., Rogeberg, O., Tyler, L., Bertram, L., & Lifebrain Consortium (2018). Healthy minds from 0-100 years: Optimising the use of European brain imaging cohorts ("Lifebrain"). European Psychiatry, 50, 47-56. doi:10.1016/j.eurpsy.2017.12.006
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Brandmaier, A. M. (2017). pdc: An R package for complexity-based clustering of time series [Computer software]. Zenodo. doi:10.5281/zenodo.1116256
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Brandmaier, A. M. (2017). Recursive partitioning for Structural Equation Models [Computer software]. Zenodo. doi:10.5281/zenodo.1116294
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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. Developmental Psychology, 53, 996-1012. doi:10.1037/dev0000274
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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). Berlin: DIW.
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Kühn, S., Düzel, S., Colzato, L., Norman, K., Gallinat, J., Brandmaier, A. M., Lindenberger, U., & Widaman, K. F. (2017). Food for thought: Association between dietary tyrosine and cognitive performance in younger and older adults. Psychological Research. Advance online publication. doi:10.1007/s00426-017-0957-4
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Bender, A. R., Prindle, J. J., Brandmaier, A. M., & Raz, N. (2016). White matter and memory in healthy adults: Coupled changes over two years. NeuroImage, 131, 193-204. doi:10.1016/j.neuroimage.2015.10.085
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Brandmaier, A. M., Prindle, J. J., McArdle, J. J., & Lindenberger, U. (2016). Theory-guided exploration with structural equation model forests. Psychological Methods, 21, 566-582. doi:10.1037/met0000090
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Brandmaier, A. M. (2015). pdc: An R package for complexity-based clustering of time series. Journal of Statistical Software, 67. doi:10.18637/jss.v067.i05
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Brandmaier, A. M., von Oertzen, T., Ghisletta, P., Hertzog, C., & Lindenberger, U. (2015). LIFESPAN: A tool for the computer-aided design of longitudinal studies. Frontiers in Psychology, 6:272. doi:10.3389/fpsyg.2015.00272
Full text

Freund, J., Brandmaier, A. M., Lewejohann, L., Kirste, I., Kritzler, M., Krüger, A., Sachser, N., Lindenberger, U., & Kempermann, G. (2015). Association between exploratory activity and social individuality in genetically identical mice living in the same enriched environment. Neuroscience, 309, 140-152. doi:10.1016/j.neuroscience.2015.05.027
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Karch, J. D., Sander, M. C., von Oertzen, T., Brandmaier, A. M., & Werkle-Bergner, M. (2015). Using within-subject pattern classification to understand lifespan age differences in oscillatory mechanisms of working memory selection and maintenance. NeuroImage, 118, 538-552. doi:10.1016/j.neuroimage.2015.04.038
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Lever, A. G., Werkle-Bergner, M., Brandmaier, A. M., Ridderinkhof, K. R., & Geurts, H. M. (2015). Atypical working memory decline across the adult lifespan in autism spectrum disorder? Journal of Abnormal Psychology, 124, 1014-1026. doi:10.1037/abn0000108
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von Oertzen, T., Brandmaier, A. M., & Tsang, S. (2015). Structural equation modeling with Ωnyx. Structural Equation Modeling, 22, 148-161. doi:10.1080/10705511.2014.935842
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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). New York: Routledge.

Ghisletta, P., Bäckman, L., Bertram, L., Brandmaier, A. M., Gerstorf, D., Liu, T., & Lindenberger, U. (2014). The Val/Met polymorphism of the Brain-Derived Neurotrophic Factor (BDNF) gene predicts decline in perceptual speed in older adults. Psychology and Aging, 29, 384-392. doi:10.1037/a0035201
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Brandmaier, A. M., von Oertzen, T., McArdle, J. J., & Lindenberger, U. (2013). Structural equation model trees. Psychological Methods, 18, 71-86. doi:10.1037/a0030001
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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. doi:10.1126/science.1235294
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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, 414-428. doi:10.1037/a0031844
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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):e48089. doi:10.1371/journal.pone.0048089
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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). Berlin: DIW.
(Reprinted from PLoS ONE, 7(10):e48089, 2012, doi:10.1371/journal.pone.0048089)
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Brandmaier, A. M. (2011). Permutation distribution clustering and structural equation model trees. Doctoral dissertation, Universität des Saarlandes, Saarbrücken, Germany. doi:10.22028/D291-26289
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