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Mixed (aka multilevel or hierarchical) models are linear models that include both fixed effects and random effects. They are used to model longitudinal or nested data.
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How to test for statistical significance with multiple visits and technical replicates?
I have a data set with 100 columns that's divided between 40 normal columns and 60 MI columns. Samples from each patient were taken at two separate visits, and each sample has two technical replicate …