[R] Q: Odds Ratio

[BXC (Bendix Carstensen)]

lr.mod <- glm( y ~ x + w, family=binomial )
exp( summary( lr.mod )$coef[,1:2] %*% rbind( c(1,1,1), 1.96*c(0,-1,-1) )
)

should do the job. 

Pack it in a function if you like, see e.g. the
(so far) undocumented function ci.lin in:
http://www.biostat.ku.dk/~bxc/R/ci.lin.R
(depends on)
http://www.biostat.ku.dk/~bxc/R/ci.mat.R

Bendix
----------------------
Bendix Carstensen
Senior Statistician
Steno Diabetes Center
Niels Steensens Vej 2
DK-2820 Gentofte
Denmark
tel: +45 44 43 87 38
mob: +45 30 75 87 38
fax: +45 44 43 07 06
bxc at steno.dk
www.biostat.ku.dk/~bxc
----------------------





> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch 
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of 
> Cristian Pattaro
> Sent: Wednesday, March 17, 2004 11:50 AM
> To: r-help at stat.math.ethz.ch
> Subject: [R] Q: Odds Ratio
> 
> 
> Dear all,
> 
> is there a automatic method to obtain Odds Ratio estimates and their 
> confidence intervals from a GLM Logistic model?
> 
> Thanks
> Cristian
> 
> =============================================
> Cristian Pattaro
> =============================================
> Unit of Epidemiology & Medical Statistics
> Department of Medicines and Public Health
> University of Verona
> cristian at biometria.univr.it 
> =============================================
> 
> 
> 	[[alternative HTML version deleted]]
> 
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