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Moreover, with a view to show performance analysis of models, the statistical testing methods such as mean absolute percentage errors (MAPE), mean absolute bias error (MABE), root mean square error (RMSE) were used.
In addition, a comprehensive framework is developed to analyze the sensitivity of the proposed metrics to three types of solar forecasting improvements using a design-of-experiments methodology in conjunction with response surface, sensitivity analysis, and nonparametric statistical testing methods.
Nevertheless, some articles on statistical testing methods indicate that the existence of a mediating effect does not need the premise of a significant main effect (Mackinnon et al. 2000; Shrout and Bolger 2002).
Such differences may be missed by traditional statistical testing methods such as an F-test.
It should be noted that monotonicity is not an a priori prerequisite for statistical testing methods.
There are already many statistical testing methods for RNA-seq differential expression analysis.
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A binomial distribution statistical testing method was selected and a significance level of 0.1 was applied.
P-values for enrichment terms were calculated using hypergeometric distribution and statistical testing method with the Jekutieli multi-test adjustment method.
In order to compare to a traditional statistical testing method, we perform a similar analysis on the two datasets using an F-test.
A Monte Carlo simulation-based parametric statistical testing method was then applied to determine whether the gene is differentially expressed in a consistent pattern over time (9).
Because most of GSEA methods employ two sample comparison method such as unpaired or paired t test [ 13], we set out to develop a statistical testing method for GSEA based on regression analysis for each individual gene.
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