
Hi sir:
I follow your suggestion:


result<-glm(y ~ factor(age) + factor(gender) + CD4,family = binomial)
logistic.display(result)


Error in coeff[, 1] : incorrect number of dimensions











At 2011-12-14 01:59:36,"Jorge I Velez" <jorgeivanvelez@gmail.com> wrote:
Hi there,


Try


require(epicalc)
logistic.display(result)


HTH,
Jorge


On Tue, Dec 13, 2011 at 7:16 AM, ГПРА <> wrote:
Hi all:
My data has 3 variables:
age(3levels : <30y=1  30-50y=2, >50y=3)
gender(Male=0, Female=1)
CD4 cell count(raw lab measurement)
y(1:death  0:alive)

I perform logistic regression to find out the factors that influence y.

result<-glm(y ~ factor(age) + factor(gender) + CD4,family = binomial)

>From the result,I can get OR(Odds Ratio) of gender  via exp(Estimate of Female, since Male is regarded as reference group and has no result).But how can I compute the 95%CI of OR of gender?


Thanks a lot for your help.

My best!




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