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Though these computational methods could determine the pathway cross-talks by p-values from different statistic methods, non-statistical significance may be biologically significant.
Approximate Bayesian and summary statistic methods including multiple summary statistics (e.g. both temporal F and LD) could greatly improve precision and accuracy of N e estimators (Tallmon et al. 2008; Luikart et al. 2010), especially as large population genomic data sets become common making likelihood-based methods even computationally demanding to evaluate (Luikart et al. 2003).
Furthermore, the influence of these parameters on dynamic friction coefficient was analyzed by statistic methods.
As a plug-in for GIS, DEMSTA provides some widely used statistic methods.
In the first phase, lots of candidates are extracted from the corpus by statistic methods.
To deal with the problem of the initial center selection and outliers, a set of statistic methods is conducted.
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The Q statistic method was used to assess statistical heterogeneity and the I-squared method to assess the magnitude of variation secondary to heterogeneity [29].
The Q statistic method was used to assess statistical heterogeneity and the I-squared (I) statistic was used to evaluate the inconsistency between trials.
Mann-Whitney U-test which is a non-parameter statistic method was applied to evaluate the statistical significance of averaged dipeptide compositions between MTP and non-MTP.
Therefore, we used a non-parametric statistic method when we analyzed the data to avoid a statistical error.
The space-time scan statistic method is proposed as a dynamic supplement to purely spatial statistical methods for outbreak detection and prediction.
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