Does anyone know how could I get the significant codes from mixed model
output fitted with a GEE package?
The output I got is the following:
GEE: GENERALIZED LINEAR MODELS FOR DEPENDENT DATA
gee S-function, version 4.13 modified 98/01/27 (1998)
Model:
Link: Logit
Variance to Mean Relation: Binomial
Correlation Structure: Exchangeable
Call:
gee(formula = bru ~ +grac + locc + dekc, id = flo, data = all,
family = binomial(link = "logit"), corstr = "exchangeable")
Summary of Residuals:
Min 1Q Median 3Q Max
-0.41935925 -0.15355800 -0.09403907 -0.03244056 0.98117731
Coefficients:
Estimate Naive S.E. Naive z Robust
S.E. Robust z
(Intercept) -0.3254043 0.1640277 -1.983837 0.1375856 -2.365105
graczero -1.6884041 0.4978737 -3.391230 0.5222118 -3.233179
loccM -1.3815591 0.2202543 -6.272563 0.2256275 -6.123185
dekclow -0.5583225 0.2487267 -2.244723 0.2293527 -2.434341
Estimated Scale Parameter: 1.025636
I much appreciate any help.
David
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