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</html><description>Description: The Linear Mixed Model is a statistical approach that combines fixed and random effects to analyze data that exhibit a hierarchical or grouped structure. Fixed effects are those considered constant and apply to the entire population, while random effects capture variability between groups or units within the population. This duality allows for modeling situations [&hellip;]</description></oembed>
