Sentence examples for bootstrap diagnostics were used from inspiring English sources
Basic goodness-of-fit diagnostics, visual and numerical predictive checks, as well as bootstrap diagnostics were used to evaluate the appropriateness of the final model.
Only branches with significant bootstrap were used.
Using a cross-sectional design, ordinary least squares regression and bootstrapping mediation analyses were used to test whether self-stigma mediated the relationship between perceived public stigma and psychosocial outcomes and whether this mediating process was moderated by diagnostic status.
Bootstrap values (500 ML bootstraps) and Bayesian PP were used to assess branch support.
Bootstrap values (500 ML bootstraps) and Bayesian posterior probabilities were used to assess branch support.
Bootstrap N-J commands (N = 1000) of CLUSTAL X were used to generate bootstrapped trees.
GTRCAT and GTRGAMMA options were used, 1000 rapid bootstrap replicates were conducted to assess bootstrap values.
Bootstrap resampling was used to select the best diagnostic biomarker panel for high-grade dysplasia (HGD) and early cancer (EC).
Default values were used except for 100 bootstraps.
Bootstrap technic was used to compute the confidence intervals.
