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Journal Article (32)

2021
Journal Article
Cekiz, S., Aichele, S., Brandmaier, A. M., Köhncke, Y., & Ghisletta, P. (in press). A tutorial for joint modeling of longitudinal and time-to-event data in R. Quantitative and Computational Methods in Behavioral Sciences.
Journal Article
Nyberg, L., Magnussen, F., Lundquist, A., Baare, W., Bartés-Faz, D., Bertram, L., Boraxbekk, C. J., Brandmaier, A. M., Drevon, C. A., Ebmeier, K., Ghisletta, P., Henson, R. N., Junqué, C., Kievit, R., Kleemeyer, M., Knights, E., Kühn, S., Lindenberger, U., Penninx, B. W. J. H., Pudas, S., Sørensen, Ø., Vaqué-Alcázar, L., Walhovd, K. B., & Fjell, A. M. (2021). Educational attainment does not influence brain aging. Proceedings of the National Academy of Sciences of the United States of America, 118(18), Article e2101644118. https://doi.org/10.1073/pnas.2101644118
Journal Article
Sørensen, Ø., Brandmaier, A. M., Macià, D., Ebmeier, K., Ghisletta, P., Kievit, R. A., Mowinckel, A. M., Walhovd, K. B., Westerhausen, R., & Fjell, A. (2021). Meta-analysis of generalized additive models in neuroimaging studies. NeuroImage, 224, Article 117416. https://doi.org/10.1016/j.neuroimage.2020.117416
2020
Journal Article
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
Journal Article
Ghisletta, P., Mason, F., von Oertzen, T., Hertzog, C., Nilsson, L.-G., & Lindenberger, U. (2020). On the use of growth models to study normal cognitive aging. International Journal of Behavioral Development, 44(1), 88–96. https://doi.org/10.1177/0165025419851576
Journal Article
Windsor, T. D., Ghisletta, P., & Gerstorf, D. (2020). Social resources as compensatory cognitive reserve? Interactions of social resources with education in predicting late-life cognition. The Journals of Gerontology: B, Psychological Sciences and Social Sciences, 75(7), 1451–1461. https://doi.org/10.1093/geronb/gby143
2019
Journal Article
Ghisletta, P., Mason, F., Dahle, C. L., & Raz, N. (2019). Metabolic risk affects fluid intelligence changes in healthy adults. Psychology and Aging, 34(7), 912–920. https://doi.org/10.1037/pag0000402
2018
Journal Article
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, Article 294. https://doi.org/10.3389/fpsyg.2018.00294
Journal Article
Ghisletta, P., Joly-Burra, E., Aichele, S., Lindenberger, U., & Schmiedek, F. (2018). Age differences in day-to-day speed-accuracy tradeoffs: Results from the COGITO study. Multivariate Behavioral Research, 53(6), 842–852. https://doi.org/10.1080/00273171.2018.1463194
Journal Article
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. https://doi.org/10.1016/j.eurpsy.2017.12.006
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