Sentence examples for bootstrapping samples were used from inspiring English sources

In total, 1,000 bootstrapping samples were used, logistic regression models with all possible combination of CpG sites and SNPs within a gene were fitted to each sample, and the relative frequency of each selected model out of 1,000 bootstrapping samples was recorded.

In obtaining bootstrap estimates of the standard errors of each simulation estimate of the population total basal area, 100 bootstrap samples were used; more bootstrap samples might have been used, but some studies of sampling in forest circumstances have suggested that 100 is sufficient (Schreuder et al. 1992; West 2016).

In both cases, 1000 samples (of three times 50 iris) were generated and for each, 1000 bootstrap samples were used in the resampling method to determine a p-value for the test of homogeneity.

In addition, 500 bootstrap samples were used in the empirical example.

For the c-index and the slope 200 bootstrap samples were used.

Within FPG group, 1,000 bootstrap samples were used to estimate parameter SEs.

The covariance structure software AMOS [ 30] was used to calculate the estimate path coefficients using a bootstrapping method (2000 bootstrap samples were used) [ 31].

Repeated bootstrap samples were used to identify significant associations/interactions between miRNA and mRNA using 31 down-regulated miRNAs and 71 up-regulated mRNAs.

In the latter analysis, the latent variable dimension was estimated to be 37 by the RMT method of Teschendorff et al. (2011); because simulations suggest accurate dimension estimation by the RMT method, we used d = 37. 500 bootstrap samples were used for inference.

Bootstrap samples are used from the data to construct each tree and at each node, a random subset of predictors are tested.

For the interpretation of the results it is most important that all modeling steps are repeated in each bootstrap sample and that the same set of bootstrap samples is used for all strategies.