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has presented methods that have been successful in reducing the necessary number of bootstrap replicates through use of importance sampling, by identifying the pseudosamples that are likely to contribute a good deal to the variability in the results and then oversampling those pseudosarnples. In the case of microsimulation models, one could oversample groups that are most affected by the proposed changes in regulations in the replication process.
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