Yes you use the linear predictor from your regression as the dependent variable in the rms package's ols function. You will get an R^2 of 1.0. You can depict the ols model with nomogram(). Note that there are so many statistical issues in competing risks that doing this without a statistician is risky. Frank
----- Frank Harrell Department of Biostatistics, Vanderbilt University -- View this message in context: http://r.789695.n4.nabble.com/Competing-risks-nomogram-tp3621907p3625011.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.
