Dear all,

 

I used fit.mult.impute in Dr. Harrell's Design package to fit a cox ph
regression model on five imputed datasets, where all missing predictors
were filled by multiple imputation using R package Mice. Are there any
functions able to do bootstrapping or cross-validation for the
aggregated model? I tried function 'validate' and 'calibrate' in Design
package, but found they used the last imputed dataset only instead of
all five datasets. 

 

Thanks very much.

 

 

Changhong


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