What is the difference between quasi-likelihood estimating equations, and GEE?
From a note
Quasi-score function is for independent, over-dispersed data (Poisson or binomial), while GEE1 is for correlated data.
But it seems to me that in the note, their equations both don't take into account the correlation between different responses. So how shall I understand them correctly?
- How is independence estimating equations (IEE) different from the above two?