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Repeated-measures ANOVAs continue to be used widely for the analysis of repeated-measures data, despite risks to interpretation. Mixed-effects models use all available data, can properly account for correlation between repeated measurements on the same subject, have greater flexibility to model time effects, and can handle missing data more appropriately. Their flexibility makes them the preferred choice for the analysis of repeated-measures data.
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Gueorguieva et al. (Mon,) studied this question.
synapsesocial.com/papers/69dc9e6a34612599f33592f2 — DOI: https://doi.org/10.1001/archpsyc.61.3.310
Ralitza Gueorguieva
Yale University
John H. Krystal
Broad Institute
Archives of General Psychiatry
Yale University
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