Sentence examples for bootstrapping techniques were used from inspiring English sources

Following Hayes (2013), bootstrapping techniques were used to assess the significance of the conditional indirect effect of sex on growth intention.

Cost-effectiveness acceptability curves based on the net benefit approach and bootstrapping techniques were used to estimate the probability of cost-effectiveness.

Bootstrapping techniques were used to calculate distribution ranges in the case of household costs after assessing the non-normality of cost distributions through Shapiro-Wilk tests [36], [37].

Bootstrapping techniques were used to limit overfitting, but the score requires further validation.

Parametric bootstrap techniques were used to derive the empirical distribution for each statistic under the hypothesis of homogeneity across areas.

To exploit the richness of the sampling of CCHS 1.1, bootstrap techniques were used to generate confidence intervals associated with the expected costs and excess costs versus normal-weight individuals.

Additional bootstrapping technique was used to check the distribution and uncertainty of eluotropic estimates, proving very similar confidence intervals to linear regression.

While our effect estimates indicate the presence of associations between the other health domains studied and re-incarceration, when a bootstrapping technique was used to account for over-fitting, the contribution of these domains to predicting return to custody was less clear.

The bootstrapping technique was used in this study instead of splitting the data into development and validation data set because this method is regarded as most data 'efficient' and accurate in developing a prognostic model [25].

The bootstrapping technique was used to assess the generalizability of the cluster solution.

For the purposes of validating the model, and estimating the population parameters, a bootstrapping technique was used.