Sentence examples for bootstrap resampling was based from inspiring English sources

Because subjects could contribute data at multiple time points, bootstrap resampling was based on subject rather than data-point.

Confidence intervals (CIs) and p-values for the two estimates were obtained with 10,000 bootstrap iterations, where resampling was based on the 195 independent grids.

Bootstrap resampling support was based on 100 (ML) or 2000 (MP, NJ) replicates, with TBR branch swapping of starting trees obtained by stepwise addition.

In their paper, the authors had observed that a single-layer bootstrap model averaging approach tended to favor the initial model on which resamples were based.

Bootstrap resampling was conducted using 1000 replicate neighbour-joining (NJ) trees based on the ML substitution matrix.

Uncertainty of the incremental cost-effectiveness ratio was evaluated, based on the bootstrap method (in which bootstrap resampling was repeated 10 000 times).

Non-parametric balanced bootstrap resampling was used to quantify the sampling uncertainty.

Bootstrap resampling was performed for each analysis (1000 replications).

Bootstrap resampling was carried out to demonstrate robustness of groupings.

Bootstrap resampling was attempted in TNT, with 5,000 pseudoreplicates.

Bootstrap resampling was also carried out using PAUP 4b10.