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Modeling (estimating) the covariance of the data.

Modeling (estimating) the covariance of the data. Up to this point, we have concentrated on reducing (simplifying) the outcome data. Now, we turn our attention to methods where the data is kept in its longitudinal (repeated measures) form.

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BIO226 Lab Session 8: Generalized Linear Mixed Effects Models (GLMMs)

BIO226 Lab Session 8: Generalized Linear Mixed Effects Models (GLMMs). Professor Brent Coull TA: Shelley Liu May 6, 2014. Key Points of GLMM. 1. GLMMs extend the approach of linear mixed effects models to categorical data.

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568 views • 22 slides

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Modeling (estimating) the covariance of the data.

BIO226 Lab Session 8: Generalized Linear Mixed Effects Models (GLMMs)