R help - May 2008 - Standard error of combination of parameter estimates

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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________________________________

Fra: r-help-bounces at r-project.org p? vegne af Mark Donoghoe
Sendt: ma 12-05-2008 09:11
Til: r-help at r-project.org
Emne: [R] Standard error of combination of parameter estimates



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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IMPORTANT NOTICE: This e-mail and any attachment to it are intended only to be
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It is confidential and may contain legally privileged information. No
confidentiality or privilege is waived or lost
by any mistaken transmission to you. The CTC is not responsible for any
unauthorised alterations to this e-mail or
attachment to it. Views expressed in this message are those of the individual
sender, and are not necessarily the
views of the CTC. If you receive this e-mail in error, please immediately delete
it and notify the sender. You must
not disclose, copy or use any part of this e-mail if you are not the intended
recipient.

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