That's definitely one for the fortune package! Wolfgang
> -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] > On Behalf Of Frank Harrell > Sent: Monday, February 14, 2011 14:50 > To: r-help@r-project.org > Subject: Re: [R] Optimal Y>=q cutoff after logistic regression > > > It is very seldom that such a cutoff is real and validates in another > dataset. As described so well in Steyerberg's book Clinical Prediction > Modeling there are many good ways to present models to non-statisticians. > Nomograms and calibration curves with histograms of predicted > probabilities are two good ones. > > There is a reason that the speedometer in your car doesn't just read > "slow" and "fast". > > Frank > > ----- > Frank Harrell > Department of Biostatistics, Vanderbilt University > -- > View this message in context: http://r.789695.n4.nabble.com/Optimal-Y-q- > cutoff-after-logistic-regression-tp3304474p3305012.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. ______________________________________________ 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.
