Thank you for the advice, Frank! ...Tao
----- Original Message ---- > From: Frank Harrell <f.harr...@vanderbilt.edu> > To: r-help@r-project.org > Sent: Sun, November 21, 2010 5:49:36 AM > Subject: Re: [R] calculating martingale residual on new data using > > > The tendency is to use residual-like diagnostics on the entire dataset that > was available for model development. For test data we typically run > predictive accuracy analyses. For example, one of the strongest validations > is to show, in a high-resolution calibration plot, that absolute predictions > (e.g., probability of survival at 2 years) are accurate. > > Frank > > > ----- > Frank Harrell > Department of Biostatistics, Vanderbilt University > -- > View this message in context: >http://r.789695.n4.nabble.com/calculating-martingale-residual-on-new-data-using-predict-coxph-tp3050712p3052377.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.
