On 01/30/2013 11:26 AM, John Sorkin wrote:
If you use a log link, you are not, I believe, performing a logistic
regression!

I guess strictly speaking, that is true. I was being a little sloppy in terminology.


"Kevin E. Thorpe" <kevin.tho...@utoronto.ca> 1/30/2013 11:22 AM >>>
On 01/30/2013 11:17 AM, John Sorkin wrote:
 > I am not sure why one would want a relative risk from a logistic
 > regression. The measure of association from a logistic regression is the
 > odds ratio, not the relative risk.
 > John
 >

Yes, the natural measure, when using the logit link, is the OR.  I
always use that myself, but if you use the log link, you get RR.  As for
why you would, I would suggest it's because physicians think they
understand a RR better than and OR.


 > "Kevin E. Thorpe" <kevin.tho...@utoronto.ca> 1/30/2013 11:14 AM >>>
 > On 01/30/2013 09:02 AM, nalluri pratap wrote:
 >  > Relative risk = exp(coef(model))
 >  >
 >
 > Only if you fit using the log link.  Using the logit link, this gives
 > odds ratios.
 >
 >  > --- On Wed, 30/1/13, aminreza Aamini <amin.r....@gmail.com> wrote:
 >  >
 >  >
 >  > From: aminreza Aamini <amin.r....@gmail.com>
 >  > Subject: [R] Relative Risk in logistic regression
 >  > To: "R-help" <R-help@r-project.org>
 >  > Date: Wednesday, 30 January, 2013, 4:19 PM
 >  >
 >  >
 >  > Hi all,
 >  > I am very grateful to all those who write to me
 >  > 1) how i  can  obtain relative risk (risk ratio) in logistic
 > regression in R.
 >  > 2) how to obtain  the predicted risk for a certain individual using
 >  > fitted regression model in R.
 >  >
 >  > Many thanks, in advance, for your help.
 >  >
 >  > Amin.
 >  >
 >  > ______________________________________________
 >  > 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.
 >  >
 >  > [[alternative HTML version deleted]]
 >  >
 >  >


--
Kevin E. Thorpe
Head of Biostatistics,  Applied Health Research Centre (AHRC)
Li Ka Shing Knowledge Institute of St. Michael's
Assistant Professor, Dalla Lana School of Public Health
University of Toronto
email: kevin.tho...@utoronto.ca  Tel: 416.864.5776  Fax: 416.864.3016

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