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...onfidence intervall, from >a logistic model (glm(.......,family=binomial....). I've written my own, but >certainly someone did a better job. I show a simple function to do this in my introductory notes available from: http://www.myatt.demon.co.uk basically it is: lreg.or <- function(model) { lreg.coeffs <- coef(summary(salex.lreg)) lci <- exp(lreg.coeffs[ ,1] - 1.96 * lreg.coeffs[ ,2]) or <- exp(lreg.coeffs[ ,1]) uci <- exp(lreg.coeffs[ ,1] + 1.96 * lreg.coeffs[ ,2]) lreg.or <- cbind(l...

Hi all. A simple question. Is there a function to compute the Odds Ratio and its confidence intervall, from a logistic model (glm(.......,family=binomial....). I've written my own, but certainly someone did a better job. Thank you in advance, Stefano *********************************************** Stefano Calza Istituto di Statistica Medica e Biometria Universit? degli Studi di Milano Via

hi there tried to use subset with drop=TRUE, but all the 'old' levels are preserved, i.e. when calling e.g. ftable a lot of zeros are displayed >x<-subset(LREG, (kir=='AA' | kir=='BB') & (type=='t1' | otype=='t2'), drop=TRUE, select=c(event, kir, type)) > ftable(x) i explicit have to call factor like >ftable(event~factor(kir)+factor(type)) any hints? regards soren