Sentence examples for bootstrap analyses to estimate from inspiring English sources

In this study, I performed a strict data mining effort for marsupial opossum OR sequences and bootstrap analyses to estimate the periods of chromosomal migrations and gene duplications of OR genes during tetrapod evolution.

This procedure uses bootstrapping analyses to estimate 95%% bias corrected confidence intervals (1000 resamples) to assess both direct and indirect effects.

To determine the corrected P-values on the basis of the maximal χ analysis, 2000 bootstrap-like simulations were used in univariate analyses to estimate the distribution of the maximal χ statistics under the null hypothesis of no association.

For this response variable, we rely on the bootstrap analyses to assess whether confidence intervals for parameter estimates of predictor variables include zero.

Bootstrap analyses were performed to estimate the uncertainty around the cost and outcome results.

ML bootstrap analyses were derived to estimate statistical support for each node.

To overcome these limitations, we used three analysis strategies: a direct comparison of the two regions in the eleven individuals in whom both regions could be identified, a cross-voxel correlation analysis within each region of interest, and group analyses using a bootstrap to estimate confidence intervals.

Due to the limited number of reticular naevi (n = 62) in our analyses, we used a bootstrap procedure with 200 bootstrap samples to estimate the standard errors of the odds ratios, and obtained the corresponding P-values.

The bootstrap procedure is not the typical bootstrap to estimate uncertainty on parameters.

We use 10k bootstrap samples to estimate the confidence interval of the correlation coefficient.

We used package "pROC" as implemented in R to perform the ROC analyses and to estimate 95% confidence intervals (95% CI) of the thresholds and operational parameters using bootstrapping (2000 samples) [ 45].