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.
