Hello,
I have a model (glm.nb)
to which I would like to extract the coefficients. I use a 2nd order
polynomial for one of the terms, and I’ve read that I should use poly.transform
to derive the more accurate coefficients transformed from the orthogonal form.
However, I would like to present the 90% confidence intervals associated with
the coefficients. The command ‘confint’ will do it for most terms;
does anyone know how to generate 90% confidence intervals on the transformed
coefficients (i.e. in conjunction with the poly.transform command)?
The coding I’m
using in S-plus 6.2 for Windows is:
patchocc.nb4<-glm.nb(yrsocc11~cnt93+poly(age,2)+log(sw+0.01),
data="" na.action="">
confint(patchocc.nb4,
level=0.90)
summary(patchocc.nb4)
anova(patchocc.nb4,
test="Chi")
poly.transform(poly(age,2),
coef(patchocc.nb4)[c(1,3,4)])
Thanks in advance,
Theresa