In response to Frank Herrell's query about using bootstrap validation when data are imputed: the fundamental problem here seems to be that the imputations based on the entire dataset incorporate information about all of the data and therefore don't include the variability under the bootstrap procedure. I don't see any obvious bound on the amount of information added by doing the imputations using the full data rather than the bootstrap replication.
