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First, a new bootstrap method, using the correlation coefficient criterion, is presented to evaluate a weapon systems accuracy when the sample size n satisfied n≥10.
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95% confidence intervals (CIs) for median differences were calculated with the bootstrapping method using the R bootstrapping package.
The 95%CIs were calculated using the bootstrap method, using 5000 resamplings with replacement of participants in this trial.
The reliability of the phylogenetic tree was verified by the bootstrap method, using R. equi as the outgroup.
In the analysis, the bootstrap method using a tested block size of 5 Mb (supplementary table S17, Supplementary Material online) was employed to calculate the statistic D value (see Materials and Methods).
Error bars indicate the 95%% confidence interval calculated by the bootstrap method using ACFs spanning 1 week.
The variance of the difference between dS and dN was estimated by the bootstrap method using 500 replicates.
Confidence intervals were calculated by the bootstrap method using 1000 repeat samplings.
In contrast to normal parametric methods, the bootstrap method used had the advantage of analyzing the dataset presented here, regardless of skewed distributions of all outcome variables and low sample size.
Note that the reshuffling we perform is fundamentally different from the bootstrapping method used for example in [25].
Ninety-five perconfidencedence intervals (CIs) for cumulative incidence were calculated using the bootstrap method; use of arcsine and logarithmic methods yielded highly similar results [ 30].
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