rms and fit.mult.impute don't necessarily play well with mice. Note also that you will need a special adjustment for variances for having done stepwise regression. One approach is to insert a zero for a coefficient every time that variable is not 'selected', then compute the sample variance of the beta hats and zeros [using the bootstrap].
Frank ----- Frank Harrell Department of Biostatistics, Vanderbilt University -- View this message in context: http://r.789695.n4.nabble.com/problem-with-package-rsm-running-fit-mult-impute-with-cph-tp3069319p3070218.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.
