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The uncertainties and 95% confidence intervals were assessed by a bootstrap approach in which odds ratios were calculated from each of 8000 bootstrap samples.
The accuracy and robustness of the final models were evaluated by a bootstrap approach consisting of repeated random sampling with replacement from the original data using Wings for NONMEM (Holford et al, 1993a, 1993b; Sheiner, 1997).
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Hosseinzadeh et al. (2016) identified the importance of a balance of efficiency gains and losses for 33 Australian mining firms by using a bootstrap approach.
All of these limitations can be avoided, by adopting a bootstrap approach.
Alternatively one could compute confidence intervals by using a bootstrap approach [ 11].
We tested the hypothesis that the observed distribution of sites near the pre-miRNA loci occurred at random by applying a bootstrap approach.
The use of more multiple observations per country is taken into account by using a bootstrap approach to estimate the confidence intervals.
Confidence intervals were assessed by means of a bootstrap approach.
This significance was confirmed by a bootstrapping approach.
The direct and indirect effects between the dependent (SGA) and independent variable (maternal tobacco smoking) as well as the mediator (DNA methylation) were tested (Fig. 1) using a bootstrap approach (1000 samples) described by Preacher and Hayes [ 44].
To estimate the mean dN, dS, and dN/dS for each gene category distinguished by the microarray experiment (constitutive, sexual and vegetative) we implemented a bootstrap approach.
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CEO of Professional Science Editing for Scientists @ prosciediting.com