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Q: Would failure to include the random effects necessarily always lead to an increase in possibliity of overdispersion?
A: The random effects, when included, make it less likely that you will over- or under-estimate.
Q: So since we have random effects why would we not always use the conditional prediction?
A: We usually want the marginal model profiler. The Conditional Model Profiler goes into some more detail on factors without doing a separate analysis.
Q: Is GLMM supported within MSA platform?
A: The data generated from the MSA builder could be analyzed with GLMM, but it is not automatically integrated with the variability platform or MSA.
Q: Does the order of the Y’s matter? I’m guessing the numerator is the top number.
A: Yes.
Q: Are repeated measures designs specified the same way as in the mixed model platform?