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Randomization avoids bias (whether conscious or unconscious); with randomized allocation, predictive factors (known and unknown) tend on average to be balanced between treatment groups.3,8,11 Also, randomization provides a valid basis for statistical tests of significance.3 These concepts are discussed further later.
To get an overall measure of absolute auditory response strength to each specific call event we therefore averaged the concurrent responses at different sites within an individual, and used this measure as a basis for statistical tests.
Additionally, these learned parameters can then be used as the basis for statistical tests to establish how well individual samples or subsets of the cohort follow the distribution of learned parameter patterns for each regulatory node.
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Currently, a common approach to identifying differentially expressed genes is to calculate an expression index for each probe set and array and use these expression indices as the basis for statistical testing.
GraphPad Prism 7.03 software was utilized for statistical tests.
Alpha level of 0.05 was used for statistical tests.
For statistical tests we used SPSS 15.0.
This should provide a principled basis for developing statistical tests on real WGD descendants, to see if the geometric excision hypothesis is acceptable and to see if fractionation is unbiased or not.
We used nonparametric tests for statistical testing.
The decision to add dummy variables is also made on the basis of statistical testing.
Outcomes will be compared between groups on an 'intention to treat' basis by standard statistical tests, including chi2 for categorical variables and t, Mann-Whitney and one-way ANOVA tests for continuous and ordinal variables.
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