I am making a list of disadvantages of GEE and GLMM for a correlated binary outcome. So far I know that GEE requires a relatively large number of clusters, and that it produces profile curves that corresponds to no individual. GLMM on the other hand is not robust for violation of distributional assumptions, and is numerically intensive. Can you add more disadvantages of the two models ? Thank you !


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