I know that GEE takes into account for the fact that the responses are correlated by taking the number of cluster as the sample size instead of the numbers of responses. This will impact the S.E. But how will the results (odds ratios and 95% CI) change when you use a standard model instead of GEE?
It is often said that dependency only affects the standard errors and not the estimates of the parameters per se; this is not the case and this paper shows what happens when a mixed (multilevel) model is not used when it should be
Article Do multilevel models ever give different results?.
For my take on whether to use GEE or a multilevel model see
https://www.researchgate.net/post/Where_can_I_find_good_material_on_the_difference_between_mixed_models_and_gee_models
You get the wrong answer. D. Booth for details see:
https://www4.stat.ncsu.edu/~davidian/st732/notes.html
It is often said that dependency only affects the standard errors and not the estimates of the parameters per se; this is not the case and this paper shows what happens when a mixed (multilevel) model is not used when it should be
Article Do multilevel models ever give different results?.
For my take on whether to use GEE or a multilevel model see
https://www.researchgate.net/post/Where_can_I_find_good_material_on_the_difference_between_mixed_models_and_gee_models
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