Message-ID: <510946CC.6040702@utoronto.ca>
Date: 2013-01-30T16:14:04Z
From: Kevin E. Thorpe
Subject: Relative Risk in logistic regression
In-Reply-To: <1359554525.64232.YahooMailClassic@web190903.mail.sg3.yahoo.com>
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