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We used bootstrap resampling on the original database as well as on five imputed databases to account for missing values.
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We estimate regions of significant change by Bootstrap resampling on subjects within the young and old groups and computing the mean ΔH between older and younger Bootstrap samples, repeated for 1000 resampling iterations.
§SD, standard deviation based on bootstrap resampling of the null distribution of observed epidemic patterns.
The empirical estimate is accompanied by a pointwise 95% confidence interval based on bootstrap resampling of the FP2 fit.
Errors for the extinction and origination rates are represented by one standard deviation determined in each direction of a bootstrap resampling of the stratigraphic ranges of species based on 1000 iterations.
Error bars are one standard deviation, estimated from bootstrap resampling of the stratigraphic ranges of species with 1000 iterations.
We measure the reliability of between-run ΔH by Bootstrap resampling on subjects (i.e. resampling with replacement), and computing the mean ΔH for the Bootstrap sample, repeated for 1000 resampling iterations.
We compared the relative size of these effects for H, SDBOLD and Gconn, by bootstrap resampling on subjects (1000 iterations) and obtaining empirical p-values based on the fraction of resamples showing a consistent different in K-S test statistic, with the 95%CIs also reported.
We obtained 95% confidence intervals (CI) for the estimated excess hospitalizations using bootstrap resampling on blocks of calendar years (12-month block resampling with replacement) over 1000 replications [ 21, 26].
We obtained bootstrap ratios on ΔH, by Bootstrap resampling on subjects with an FDR = .05 correction for multiple comparisons.
We computed confidence bounds on values in U and V by Bootstrap resampling on subjects (1000 iterations).
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CEO of Professional Science Editing for Scientists @ prosciediting.com