Sentence examples for final significance from inspiring English sources

To establish the final significance levels for each term, we added (non-significant) or removed (significant) terms to/from the minimal model.

Politics merely provided the framework story in which the deeper concerns, whatever their final significance, might work themselves out".

The same methodology was used to determine the final significance and effect size of SNPs by meta-analysis of the Cox regression results from stages 1 and 2. To visualise the meta-analysis, we produced a forest plot using Stata version 12 (Fig. 2 57.

(The usual number of iterations depends upon many factors, but is usually 3-4). Withishis final background estimate, one computes a final significance for each value (the correlation of the wavelet function with the raw image data) so that a final listing of source pixels may be made.

Screening reduced mortality by 15%, with an incremental cost-effectiveness ratio (ICER) ranging from $106 187 955% CI, $97 496-$496-$127 to $155 256 955% CI, $150 369-$369-$198567arian cancer screening is potentially cost-effective in the United States depending on final significance of mortality reduction and cost of the CA-125 risk algorithm.Ovarian

The final significance of this Synod is that it reveals to us the limitations of the Church in finding answers to new questions of the times.

The effects of the interaction terms between roost use and geographic distribution on migratory behavior were non-significant and thus not entered in the final model (significance level for all interactions ≫0.05).

Due to the limited number of cases originating in the same center and to the bias toward intra-abdominal causes of sepsis, larger multi-institutional studies with higher numbers of patients will establish the final prognostic significance of our initial findings.

To determine this cluster-extent threshold, we performed 1000 Monte Carlo simulations using AlphaSim [ 60, 61] to obtain a final corrected significance p ≤ 0.05 (1-tailed).

Since many terms are tested, a multiple hypothesis correction, such as Bonferroni (Hochberg and Tamhane, 1987) or false discovery rate FDR;(Benjamini and Hochberg, 1995), is applied to P-value of each to obtain the final statistical significance.

The final statistical significance test will provide the actual reliability of the corresponding results independently of the parameters selected to define the thresholds for considering segments and genes as over/under-expressed (selection performed at the start of the data analysis by descriptive statistics).