On 25-Mar-2002 Peter Dalgaard BSA wrote:
Fredrik Karlsson <firstname.lastname@example.org
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.
glm(...., family=binomial) should do it (unless you mean something
different than the usual by "logistic regression")
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
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