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A total of 278 gene transcripts were identified as being differentially expressed by age (212 genes) and/or diet (66 genes), according to the pre-planned statistical screening methods (Table 1).
Based on a 2.0-fold change cutoff and FDR <0.10, a total of 371 gene transcripts were differentially expressed by age (234 genes) and/or diet (137 genes), according to the pre-planned statistical screening methods (Table 1).
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Indeed, statistical analysis reported no difference between the two screening methods (N = 40, p = .424, two-tailed).
Traditional screening methods have used observed crash frequency or severity ranking criteria and statistical modelling approaches, despite the fact that crash-based methods are reactive.
-Implementation of affordable early screening methods.
Using resistance screening method, the statistical data of the reset voltage and current are decomposed into several ranges and the distributions of them in each range are analyzed by the Weibull model.
This approach is the first that evaluates a structure-based inverse screening method on a systematic statistical test.
This 3 × 3 factorial design allows both screening method and intervention to be analysed separately with sufficient statistical power and for the analysis of any potential interactions between screening method and intervention.
Application of statistical experimental methods to screen the significant medium components affecting melanin production and to evaluate the optimal levels of the significant variables has also been conducted by standardizing the parameters for study by an initial univariate approach followed by the use of statistical designs.
However, in additional analyses using an alternate statistical method of screening for gene environment interactions, these three SNPs were not found to be significant.
This study proposes statistical methods for screening important design variables to substitute the expert opinions.
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