[R] logististic regression (GLM). How to get 95 pct. confidence limits?

[Niels Steen Krogh]

Dear R-list.
I'm doing af logistic analyses using gml.
The model explaines variations in  Adverse events infections (0 og 1) using 
age as explanatory variable.

model2d<-glm(formula=AEorSAEInfecBac~Age,family=binomial("logit"),data=emrisk)

I want to get predictions with 95% confidence limits for age 30 and age 60.
I've been reading the "google" and "search r-project" for suggestions but 
could only find solutions for lm: predict(model,data.frame(Age=30),level=.95 
..............)
?predict.glm or ?glm did'nt give me hints either.


Using R1.8.1. Windows





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Niels Steen Krogh
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