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The linearity improved for the percentage (np/nx) × 100% and the L transform, which also showed more homogeneously distributed confidence intervals (Fig. 4c,4d).
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Because costs will not be normally distributed, 95% confidence intervals for the differences in mean costs will be obtained by bias-corrected and accelerated bootstrapping with 2000 replications.
Because costs are not normally distributed, 95% confidence intervals for the differences in mean costs were obtained by bias corrected and accelerated bootstrapping (2000 replications) [ 21].
Because costs were not normally distributed, 95% confidence intervals for the differences in mean costs was obtained by bias corrected and accelerated bootstrapping (2000 replications) [ 38].
The false discovery rates (FDRs) were set at 1% (strict) and 5% (relaxed) by Peptide Validator (workflow node within Proteome Discoverer) and were used to distribute the confidence indicators for the peptide spectral matches.
We looked at distributions to determine outliers and, where data were normally distributed, calculated 5% confidence limits.
The observed number of cases was assumed to be Poisson distributed, and 95% confidence intervals (CIs) for SIR were calculated (Breslow and Day, 1987).
The Shapiro-Wilk normality test revealed that the total scores of the patients, the treating clinicians and the reviewing clinicians are normally distributed, guaranteeing correct confidence intervals.
As the data was not normally distributed, bias corrected confidence intervals were obtained using a non-parametric bootstrap procedure using 10,000 replications.
The lncRNA class contains 1,166 conserved secondary structures that possess high-confidence RNA secondary structures according to their RNAz scores (an RNAz score above 0.5 was regarded as a basis for high confidence), distributed among 835 distinct lncRNAs.
As this sample was not sufficient (age estimates not normally distributed) to calculate confidence intervals, we used the geometric mean to summarise the ranges of node age estimates inferred using PL.
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