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Challenges from Longitudinal Data | Paris Brain Institute
Analysis of longitudinal data is essential for understanding the evolution of chronic diseases, including neurological and psychiatric diseases, their variability among individuals, and the response to treatment. This two-day workshop, organized by the ARAMIS team as part of the Open Brain School, will address the main methodological challenges related to longitudinal data: irregular follow-ups, missing data, repeated measures, and multimodal data from cohorts or clinical trials.