Sentence examples for bootstrapping procedures were used from inspiring English sources

Analyses were weighted to the population and bootstrapping procedures were used to estimate variances.

Pearson product moment correlations and Preacher's and Hayes's (2008) bootstrapping procedure were used to analyze the data.

Chromosome-wide significance thresholds were assessed using permutation tests, and bootstrap procedures were used to obtain confidence intervals, both implemented in QTL Express using 1,000 re-samplings.

Linear regression analyses were used to examine direct associations among executive functions, coping, and depressive symptoms, and a bootstrapping procedure was used to test indirect effects of executive functioning on depressive symptoms through coping.

Here, as in step 4, a bootstrapping procedure is used for each range (({y-d^ y),y+d^(y)})) of the training set (the examples are still considered "hard" if they fall outside of the sensitivity band (varepsilon (y))).

This bootstrapping procedure is used as a test against overfitting the Cox regression model.

Furthermore, the bootstrapping procedure was used to compute formal statistical tests of the specific indirect effects.

To further demonstrate the robust performance of mAPC-GibbsOS, a bootstrapping procedure is used in this breast cancer study to provide the confidence level of the identified TFs.

For statistical inferences, permutation tests and bootstrap procedures are used.

To obtain the 95 % CI for this last parameter, a bootstrap procedure was used with 1500 replications.

Hence, a bootstrap procedure was used to estimate the precision of each vector.