You don't say what you mean by validation and calibration of the model (these terms have multiple meanings) but if you mean looking at how good the prediction is, all the raw materials are available through svykm() and the predict() method for svycoxph(). There aren't any predefined functions like the ones Frank Harrell provides, though. Incidentally, sending two messages in quick succession like this is not a good strategy for getting help. -thomas On Wed, 9 Jun 2010, R user wrote:
Hello, This post is for Dr. Thomas Lumley or anybody familiar with the survey package. I am estimating a proportional hazards model with weights using svycoxph. Are there functions already built in the survey package that allow me to do validation and calibration of the model? Thanks -- View this message in context: http://r.789695.n4.nabble.com/calibration-and-validation-for-svycoxph-tp2249118p2249118.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.
Thomas Lumley Assoc. Professor, Biostatistics tlum...@u.washington.edu University of Washington, Seattle ______________________________________________ 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.
