Sentence examples for bootstrap samples were retained from inspiring English sources

Variables selected in ≥1000 of the 1500 bootstrap samples were retained for the final models and highlighted in bold (indicators).

The selection criterion ("p-remove") was set at 0.05 and from the models selected in each bootstrap sample, variables were retained for a final model if they were selected in at least 67% of the 1500 samples (i.e. more than 1000).

One hundred bootstrap samples were generated using the SEQBOOT program [51].

1000 bootstrap samples were created by drawing 10 subjects randomly with replacement from the original sample.

First 100 bootstrap samples were generated.

Due to small sample size, 95%% bootstrap confidence intervals based on 10,000 bootstrap samples were obtained.

First, 500 bootstrap samples were generated from the original sample.

One thousand bootstrap samples were taken from the original sample with replacement, and a value of T calculated in each bootstrap sample, denoted for the ith bootstrap sample.

In the MP-EST analysis, 1000 bootstrap samples were produced using a nonparametric bootstrapping technique [ 47].

Bootstrap confidence intervals based on 1000 bootstrap samples were also estimated for all AUCs.

The bootstrap samples were generated using SPSS 12.5 software.