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
John David Sorkin M.D., Ph.D. Chief, Biostatistics and Informatics University of Maryland School of Medicine Division of Gerontology Baltimore VA Medical Center 10 North Greene Street GRECC (BT/18/GR) Baltimore, MD 21201-1524 (Phone) 410-605-7119 (Fax) 410-605-7913 (Please call phone number above prior to faxing)>>> "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]] > > > > ______________________________________________ > 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. > -- 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 ______________________________________________ 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. Confidentiality Statement: This email message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply email and destroy all copies of the original message.
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