Sentence examples for bootstrap proportions were calculated from inspiring English sources

Bootstrap proportions were calculated by analysis of 1500 replicates.

Bootstrap proportions were calculated based on 500 bootstrap replicates, using the same settings as for each replicate in the heuristic search, but with only 10 random stepwise addition sequences per replicate.

Ninety-five per cent CIs for proportions were calculated using bootstrapping, according to Salganik 28 and for numeric estimates a design effect of 4 was used.

Sensitivity cannot be calculated because no reference result is available for all participants, particularly those testing negative initially; 95% CIs for proportions were calculated from 2000 random bootstrap samples to account for clustering by centre.

Proportions were calculated stratified by service.

Bayesian bootstrap proportions (BPBI) were calculated as follows: 100 bootstrapped datasets were generated with the SEQBOOT program under the PHYLIP package Version 3.6b [ 71], and then each dataset was analyzed by MrBayes v3.0b4 [ 70], with four independent Markov chains run for 500,000 Metropolis-coupled MCMC generations, with tree sampling every 100 generations and a burn-in of 10,000 trees.

Bootstrap proportions (BP) were calculated with the following procedure: 100 pseudoreplicates for the supermatrix and 1000 pseudoreplicates for each single-gene matrix.

Bootstrap proportions (BP) were calculated by analysis of 1000 replicates for NJ and by the RELL method [ 31] on the 2000 top-ranking trees for ML analyses.

From the ten thousand bootstrap data sets, the relative frequency of the highest mRNA proportion was calculated with a confidence interval fixed at 95%.

Bootstrap proportion values were calculated for internal branches of each tree using the CONSENSE program in PHYLIP.

ML bootstrap proportions were inferred using 1000 replicates.