The documentation for val.surv tried to be clear about that. Note that val.surv is only for the case where the predictions were developed on a separate dataset, i.e., that the validation is truly 'external'. Frank
yz wrote: > > Dear R users: > > I want to externally validate a model with val.surv. > > Can I use only calculated survival (at 1 year) and actual survival? > Or I needed the survival function and actual survival. > > Thanks > > *Yao Zhu* > *Department of Urology > Fudan University Shanghai Cancer Center > Shanghai, China* > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. > ----- Frank Harrell Department of Biostatistics, Vanderbilt University -- View this message in context: http://r.789695.n4.nabble.com/validate-survival-with-val-surv-tp3669022p3669051.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.