# Understanding output of a GEE model in R - Naive S.E vs. Robust S.E?

I have a question regarding the interpretation of the output I get by fitting a GEE model in R. Attached is the picture of the output I get:

1) The first column, Estimate, is obviously the estimated $\beta$'s under the GEE model.

3) The third column seems to be the Z statistic calculated using the Naive S.E

5) Fifth column seems to be the Z statistic calculated using the Robust S.E

2) Naive S.E: I guess this one is the estimated S.E using the correlation structure I used in my GEE (here: corstr = "exchangeable")

4) Robust S.E: I guess is the S.E estimated using the empirical sandwich estimator.

Is that right?

• "Naive SE is the same SE you would get if you perform GLM" is not true. For example, type this: x = rnorm(50); id = rep(1:10, each=5); y = rnorm(50)>0; m1 = gee(y ~ x, id=id, family=binomial); m2 = glm(y ~ x, family=binomial ) – Do not reinstate Monica Jul 2 at 17:31