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To compute the 95% confidence interval of the correlation coefficient, we use a bootstrap procedure [33].
We use a bootstrap procedure designed to replicate the actual degree of covariance across firms.
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To address the first difficulty, we use a bootstrapping procedure in the model-building process to ensure that the model's complexity is not excessive given the quantity of data available.
As it is not known which of the multiple haplotype inferences are best supported by the given unphased data set, we use a bootstrapping procedure that allows for scoring of alternative inferences.
The statistical significance of the CIs was also computed using a bootstrap procedure.
Thus, we needed to approach the issue of uncertainty surrounding these estimates using a bootstrap procedure.
Standard errors in parentheses are obtained using a bootstrap procedure, redrawing the sample with repetition 500 times.
The pROC software uses a bootstrap procedure to determine if the apparent difference in the two pAUC values is statistically significant.
We used a bootstrap procedure (and the bias corrected method) that generated a sample size of 5000 for our regression analyses (Shrout & Bolger 2002).
Second, a computational algorithm was developed in order to obtain an estimation of the growth parameters that one would obtain using a lower number of isolates and/or replicates, using a bootstrap procedure with 5000 simulations.
The confidence in the estimation of each vector was assessed using a bootstrap procedure, comparing the original vector to 100 bootstrapped estimations.
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