Hi,
Is there a simple command for computing the standard error of a
combination of parameter estimates in a GLM?
For example:
riskdata$age1 <- riskdata$age
riskdata$age2 <- ifelse(riskdata$age<67,0,riskdata$age-67)
model <- glm(death~age1+age2+ldl,
data=riskdata,family=binomial(link=logit))
And we want to find the standard error of the partial linear predictor
for the combination of the two age parameters, age1+age2, at some age X,
without needing to separately use the covariance matrix?
Thanks,
Mark Donoghoe
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