One simple option is to use confint function exp(confint(result))
Weidong On Tue, Dec 13, 2011 at 7:16 AM, 孟欣 <lm_meng...@163.com> 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! > > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
