On Sun, 11 Apr 2004 23:37:22 -0400
john.ferguson at yale.edu wrote:
>
> Hi everyone,
>
> I'm analysing a survival analysis data set at the moment with missing
> values in the covariate and survival vectors (I have about 60
> variables). I know there are some functions on the CRAN network to
> deal with missing values in general multivariate data. Does anybody
> know of any package that deals with missing data specifically in the
> context of survival analysis. Any help would be greatly appreciated.
>
> Thanks,
>
> john.
Consider using the aregImpute function in the Hmisc package with
right-censored survival times by predicting baseline covariates using the
follow-up time, event indicator/censoring, and the product of the two,
using multiple imputation. I am not comfortable with imputing follow-up
time and event indicators from covariates though. If the follow-up time
is completely missing you might consider discarding the observation.
---
Frank E Harrell Jr Professor and Chair School of Medicine
Department of Biostatistics Vanderbilt University