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 t
Hi all (and especially Frank),
I'm trying to use x=T, y=T in order to run a validated stepwise cox
regression in rsm, having multiply imputed using mice. I'm coding
model.max<-fit.mult.impute(baseform,cph,miced2,dated.sexrisk2,x=T,y=T)
baseform is
baseform<-Surv(si.age,si=="Yes")~ peer.press +
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