Sentence examples for bootstrap analyses were used from inspiring English sources

Non-parametric bootstrap analyses were used to quantify the uncertainty concerning the cost-effectiveness ratio.

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.

For the wMRP analyses, the bootstrap proportions from the input tree analyses were used as the branch lengths.

To assess node support, parsimony bootstrap analyses were performed using 1000 replicate heuristic searches, each with 10 random addition replicates and otherwise the same settings as used for tree searches.

Bootstrap analyses were conducted using 1000 replications, SPR search method, search-level 5.

ML bootstrap analyses were performed using 100 replicates.

All bootstrap analyses were conducted using the program Statistics101.

Bootstrap analyses were conducted using 1,000 replicates.

Bootstrap analyses were conducted using 1,000 replicates to assess the reliability of inferred tree topologies.

Maximum parsimony bootstrap analyses were performed using PAUP* 4.0b10 [ 69] with equal weighting, uninformative characters excluded, and gaps treated as missing data.

Maximum-likelihood phylogenetic reconstruction and bootstrap analyses were performed using the software PHYML (Guindon et al. 2009) under the WAG (Whelan and Goldman 2001) substitution model (suggested by the software ProtTest [ Darriba et al. 2011] to best fit the data) with invariable and four gamma-distributed substitution rate categories.