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Logistic regression in R?

5 messages · Fredrik Karlsson, Peter Dalgaard, Jonathan Baron +1 more

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Hi all!

I want to do some logistic regression. Is there a fintion in R that does
this, or do I have to do the variable conversion by hand?

Thankful for all the help I can get.

/Fredrik


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Fredrik Karlsson <fredrik.karlsson at ling.umu.se> writes:
glm(...., family=binomial) should do it (unless you mean something
different than the usual by "logistic regression")
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On 03/25/02 15:26, Fredrik Karlsson wrote:
The simplest way of doing this is to use glm, with
family=binomial

See http://www.psych.upenn.edu/~baron/rpsych.htm
section 6.9.
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On 25-Mar-2002 Peter Dalgaard BSA wrote:
glm() gives results in terms of log odds ratios.  Most epidemiologists
that I know prefer to think in terms of odds ratios, and it would be
quite helpful to have a summary function that reports estimates and
confidence intervals for the transformed parameters.  I don't know if
that is what Fredrik means by "variable conversion", but it reminded me of
this problem. I suggest a "transform=FUN" argument for summary.glm.

Incidentally, stata and SAS both have separate procedures for logistic
regression and glms, perhaps for this reason, in addition to historical
ones.

Martyn  
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Thank you everyone for the quick responses!

glm did solve my problem!

/Fredrik
On Mon, Mar 25, 2002 at 03:39:18PM +0100, Peter Dalgaard BSA wrote:
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