Hi, having used both the gee pacakge and the geepack package, i am unsure of
how to interpret the results.
Here are the results from the geeglm function from the geepack package
> gee2<-geeglm(data$erythema~data$product, data = data, id=subject,
> family=binomial, corstr="independence")
Warning message:
In model.response(mf, "numeric") :
using type="numeric" with a factor response will be
ignored> summary(gee2)
Call:
geeglm(formula = data$erythema ~ data$product, family = binomial,
data = data, id = subject, corstr = "independence")
Coefficients:
Estimate Std.err Wald Pr(>|W|)
(Intercept) 3.14e+16 5.05e+14 3864 <2e-16 ***
data$product2 3.69e+16 8.12e+14 2062 <2e-16 ***
data$product3 -2.67e+16 4.67e+14 3267 <2e-16 ***
data$product4 -2.59e+16 5.04e+14 2642 <2e-16 ***
data$product5 -1.41e+16 5.30e+14 710 <2e-16 ***
data$product6 -2.59e+16 4.96e+14 2722 <2e-16 ***
data$product7 1.55e+17 2.07e+15 5646 <2e-16 ***
data$product8 2.90e+16 7.87e+14 1362 <2e-16 ***
data$product9 -2.43e+16 4.79e+14 2584 <2e-16 ***
data$product10 -2.04e+16 5.05e+14 1632 <2e-16 ***
---
Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1
Estimated Scale Parameters:
Estimate Std.err
(Intercept) 5.51e+15 5.58e+38
Correlation: Structure = independenceNumber of clusters: 33 Maximum
cluster size: 40 >
And here are the results for the gee function from the gee package
> gee(data$erythema~data$product, data = data, id=subject, family=binomial,
> corstr="independence")
Beginning Cgee S-function, @(#) geeformula.q 4.13 98/01/27
running glm to get initial regression estimate
(Intercept) data$product2 data$product3 data$product4 data$product5
data$product6
-1.181 0.488 -1.863 -1.863 -0.800
-1.701
data$product7 data$product8 data$product9 data$product10
1.456 0.782 -1.863 -1.121
Error in gee(data$erythema ~ data$product, data = data, id = subject, :
Cgee: error: logistic model for probability has fitted value very close to
1.
estimates diverging; iteration terminated.>
I know from doing multinomial logit regression that product 7 greatly
increases levels of erythema, and products 2 and 8 have a slight increase in
erythema. However, i am unsure how to read the above results and be able to
present them to other people.
Any help much appreciated.
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