Eik Vettorazzi wrote:
l.mod<-glm(menarche~age,binomial)
you will get odds-ratios by exponentiating the coefficients of this
model, so
exp(coef(l.mod))
will do this job. You may notice that this will produce an "OR" for the
intercept part as well - which is not interpretable.
For the confide
l.mod<-glm(menarche~age,binomial)
you will get odds-ratios by exponentiating the coefficients of this
model, so
exp(coef(l.mod))
will do this job. You may notice that this will produce an "OR" for the
intercept part as well - which is not interpretable.
For the confidence intervals for this
You might also consider
?confint
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On Behalf Of Jorge Ivan Velez
Sent: Monday, September 22, 2008 5:36 PM
To: Luciano La Sala
Cc: R mailing list
Subject: Re: [R] Coefficients, OR and 95% CL
Dear Luciano,
See
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
<[EMAIL PROTECTED]>wrote:
> Dear R-users,
>
> After running a logistic regression, I need
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 any
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