Dear Luciano,
See ?logistic.display in the epicalc package. If glm1 is your model,
something like

logistic.display(glm1)

should do the job.


HTH,


Jorge


On Mon, Sep 22, 2008 at 5:28 PM, Luciano La Sala
<luciano_la_sala@yahoo.com>wrote:

> Dear R-users,
>
> After running a logistic regression, I need to calculate OR by
> exponentiating the coefficient, and then I need the 95% CL for the OR as
> well. For the following example (taken from P. Dalaagard's book), what would
> be the most straightforward method of getting what I need? Could anyone
> enlight me please?
>
> Thank you!
> Lucho
>
> > summary(glm(menarche~age,binomial))
>
> Call:
> glm(formula = menarche ~ age, family = binomial)
>
> Deviance Residuals:
>     Min        1Q    Median        3Q       Max
> -4.68654  -0.13049  -0.01067   0.09608   2.35254
>
> Coefficients:
>            Estimate Std. Error z value Pr(>|z|)
> (Intercept) -17.9175     1.7074  -10.49   <2e-16 ***
> age           1.3549     0.1296   10.45   <2e-16 ***
> ---
> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
>
> (Dispersion parameter for binomial family taken to be 1)
>
>    Null deviance: 974.31  on 703  degrees of freedom
> Residual deviance: 223.95  on 702  degrees of freedom
>  (635 observations deleted due to missingness)
> AIC: 227.95
>
> Number of Fisher Scoring iterations: 9
>
>
>
>
>
>
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