[R] Relative Risk in logistic regression

Kevin E. Thorpe kevin.thorpe at utoronto.ca
Wed Jan 30 17:14:04 CET 2013


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.fan at gmail.com> wrote:
>
>
> From: aminreza Aamini <amin.r.fan at gmail.com>
> Subject: [R] Relative Risk in logistic regression
> To: "R-help" <R-help at 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 at 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 at 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.thorpe at utoronto.ca  Tel: 416.864.5776  Fax: 416.864.3016



More information about the R-help mailing list