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Age and sex differences in intra-individual variability in a simple reaction time task. International Journal of Behavioral Development, 42(2), 294–299. doi:10.1177/0165025417739179
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Age differences in day-to-day speed-accuracy tradeoffs: Results from the COGITO study. Multivariate Behavioral Research, 53, 842–852. doi:10.1080/00273171.2018.1463194
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Cardiovascular symptoms and longitudinal declines in processing speed differentially predict cerebral white matter lesions in older adults. Archives of Gerontology and Geriatrics, 78, 139–149. doi:10.1016/j.archger.2018.06.010
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Crystallized and fluid intelligence (Oxford bibliographies in psychology.). New York, USA: Oxford University Press. Consulté de http://www.oxfordbibliographies.com/view/document/obo-9780199828340/obo-9780199828340-0207.xml
. (2018). Distress and body image disturbances in women with breast cancer in the immediate postsurgical period: The influence of attachment insecurity. Journal of Health Psychology, 21(12), 2994-3003. doi:10.1177/1359105315589802
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Fluid intelligence predicts change in depressive symptoms in later life: The lothian birth cohort 1936. Psychological Science, 29, 1984–1995. doi:10.1177/0956797618804501
. (2018). 
Healthy minds 0–100 years: Optimising the use of European brain imaging cohorts (“Lifebrain”). Workshop on Schizophrenia and other mental disorders - S. Frangou (Editor in Chief), A. Del Guerra, S. Galderisi (Guest Editors), 50, 47–56. doi:10.1016/j.eurpsy.2017.12.006
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Illness and intelligence are comparatively strong predictors of individual differences in depressive symptoms following middle age. Aging & mental health, 23, 122-131. doi:10.1080/13607863.2017.1394440
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Improving methodological standards in behavioral interventions for cognitive enhancement. Journal of Cognitive Enhancement, 3, 2–29. doi:10.1007/s41465-018-0115-y
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Intra-individual variability from a lifespan perspective: a comparison of latency and accuracy measures. Journal of Intelligence, 6, 1-18. doi:10.3390/jintelligence6010016
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Intraindividual variability in inhibition and prospective memory in healthy older adults: Insights from response regularity and rapidity. Journal of Intelligence, 6(13), 1–27. doi:10.3390/jintelligence6010013
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Leisure activities and change in cognitive stability: A multivariate approach. Brain sciences, 7(27), 1-14. doi:10.3390/brainsci7030027
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Memory deficits precede increases in depressive symptoms in later adulthood. The Journals of Gerontology: Series B. doi:10.1093/geronb/gbx183
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On the use of growth models to study normal cognitive aging. International Journal of Behavioral Development. doi:10.1177/0165025419851576
. (2019). 
Precision, reliability, and effect size of slope variance in latent growth curve models: Implications for statistical power analysis. Frontiers in Psychology, 9. doi:10.3389/fpsyg.2018.00294
. (2018). 
Prospective memory and intraindividual variability in ongoing task response times in an adult lifespan sample: the role of cue focality. Memory, 25(3), 370-376. doi:10.1080/09658211.2016.1173705
. (2017). 
The role of cognitive reserve accumulated in midlife for the relation between chronic diseases and cognitive decline in old age: A longitudinal follow-up across six years. Neuropsychologia, 121, 37–46. doi:10.1016/j.neuropsychologia.2018.10.013
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Social resources as compensatory cognitive reserve? Interactions of social resources with education in predicting late-life cognition. The Journals of Gerontology: Series B. doi:10.1093/geronb/gby143
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