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Because gene coordination relies on multiple samples to form a single measure, we used the percentile bootstrap method to ensure that the shifts were robust and significant (p<0.05) and then applied the Benjamini-Hochberg FDR [38]. Benjamini-Hochberg FDR [38]
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For this reason, we use the bootstrap method to quantify the uncertainty introduced by the ANN metamodel.
We used a bootstrap method to obtain confidence intervals [32].
We also used the bootstrap method to validate the reliability of the evolutionary tree branches with 1,000 bootstrap replications.
We use bootstrap methods to calculate cluster-robust standard errors (Efron 1979).
We used bootstrap methods to create samples of non-remission patients.
This final analysis used forced entry and bootstrapped sampling to ensure findings were robust.
As not all scales were normally distributed, this study used nonparametric statistics or bootstrapping techniques to ensure findings were robust.
In a final testing phase, bootstrapping is introduced to ensure a robust measure of out-of-sample generalisation performance.
We performed bootstrapping to ensure the robustness of the results.
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