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The least utilized variable selection method was significance testing based solely on bivariate associations (category A, 6%), and 83% (15/18) of these studies designated significance with a 0.05 alpha-level.
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A further critical aspect of selection-based methods is significance testing of the results.
The reason for the development of this method was the limited significance value of contact angle measurements and the water break test.
The permutation method was used for significance tests.
The Bonferroni method was applied and significance was set at P⩽0.006.
This method is of significance to the study of extracting root-stock plant medicines.
This method is of significance in investigating the size effects of nanomaterials and provides a new approach for studying their thermodynamic and mechanical properties.
This defective method is statistical significance testing.
The comparative CT statistical method was used to assess significance [21].
Adjustment of significance method was made using the Bonferroni method [ 28].
A binomial distribution statistical testing method was selected and a significance level of 0.1 was applied.
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