So why am I so excited about GEE models, also known as generalized estimating equations?  Well, because we can do a lot of cool stuff with them!  Like in my line of work, we can use the GEE model to study the effects of a treatment on a disease over time.  Sure, we also use another model known as the linear mixed effects model if the outcome of our variable is continuous, having infinite values over a particular range, but GEE offers us more flexibility by allowing us to look at other responses, like binary responses.  Like if we just want to know if the treatment is helpful or not.  That’s an example of a binary response.  And responses are observed over several times, at which time point does the treatment become helpful.  OR, for example, …. and you know I’m getting to this … in my trilogy, whether Anton Zelov becomes a good guy or a bad guy in a certain dimension.  And what could have happened that made him into a bad guy.  So in that model, Good Anton vs. Bad Anton is the response and we would like to know if and when a particular event happens that changes his fate.  So what is this event?  Well, you’ll just have to check out the trilogy to find out, won’t you?   Now, GEE also allows us to account for both fixed effects and random effects, where fixed effects are like something we know that might effect the outcome, like the event from Anton’s youth that affects his future, and random effects are like something that could also influence our outcome but we do not know exactly why.  Like when … never mind … again, you’ll just have to check out the trilogy.  Anyway, I’ve decided to delve into fixed effects and random effects next time.  For now, I leave you this image that I got when I was trying to google “Angel vs. Devil Bluto” as I can picture Anton looking a lot like Bluto from Popeye the Sailor Man.  But of course, this isn’t Bluto from Popeye the Sailor Man and it isn’t even Bluto from Animal House, but it has the whole Angel vs. Devil theme I wanted to convey as binary outcomes for Anton’s fate that we could apply to a GEE model so …

 

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