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The sample size for the bootstrap confidence intervals was 999.

The estimated coefficients (widehat {beta }_{20}, widehat {beta }_{21}) along with 90% bootstrap confidence intervals are shown in Table 2.

Here, a new approach to sensitivity index estimation using meta-models and bootstrap confidence intervals is described that provides solutions to these drawbacks.

All randomization p-values and bootstrap confidence intervals were based on at least 1,000 permutations/bootstraps.

Bootstrap confidence intervals are listed.

Bootstrap confidence intervals are computationally demanding.

To compare costs between groups, bootstrap confidence intervals were computed.

Bootstrap confidence intervals were calculated by 500 heuristic search replicates.

Bootstrap confidence intervals were calculated on 1,000 replicates.

90% bootstrap confidence intervals were computed using the percentile method.

Bootstrap confidence intervals were based on 1,000 samples.