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Generalized Linear Mixed (effects) Models are typically used for modeling non-independent non-normal data (eg, longitudinal binary data).

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What is the best way of reducing the number of independent variables of a GLMM?

Finally I just wanted to point out that the sampling was not done by me but by volunteers and therefore the data is both biased and datapoints are not really independent (which is why I'm using a GLMM) …
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