Sentence examples for bootstrap validations for the from inspiring English sources
The results of the bootstrap validations for the prediction of deaths and discharges are presented in Figure 5.
Multivariate analysis used a lasso regression (Tibshirani 1996; Musoro 2014), including multiple imputation for missing values and bootstrap validations, adapted for high numbers of variables (biomarkers).
This procedure involves deleting variables to a desired degree of accuracy based on contribution to model R. We will compare the reduced and full models using internal bootstrap validation, with appropriate penalisation for the variable selection.
A shrinkage factor was estimated from the bootstrap validation procedure and we shrunk the regression coefficients to provide better predictions for future patients [ 7].
Bootstrap validation was used to evaluate the validity and robustness of the final model.
Bootstrap validation was performed to evaluate the performance of the model.
The plots for time and the model predicted concentration versus CWRES presented good distribution around 0. The results of the bootstrap validation are shown in Table 3.
The bootstrap validation yielded a shrinkage factor of 0.93, which was used to adjust the regression coefficients for overfitting.
Internal bootstrap validation, bias-corrected 95% confidence intervals for hazard ratios in the final model, and bootstrap optimism corrected c-index were calculated using 1000 re-samples (Chen and George, 1985).
Resampling occurred 100 times for each bootstrap validation.
