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To further assess deviation from the linearity assumption, a trend test for BP as a continuous variable was performed for the different headache categories, in which, the trend test for BP as a categorical variable had shown significance.
The chi-square test was used to assess deviation from Hardy-Weinberg equilibrium (HWE).
Tajima's D statistic was also calculated to assess deviation from the neutral mutation model[ 41].
A chi-square test was performed to assess deviation from the expected uniform distribution.
χ tests were used to assess deviation from Hardy Weinberg equilibrium.
The Pearson goodness of fit χ test was used to assess deviation from Hardy-Weinberg equilibrium (HWE).
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Furthermore, using a standardized method to assess deviations of actual performance from predicted performance given the individual parts yields a flexible approach to make comparisons of human processes across several experimental manipulations such as alternative sensors, stimuli, and fusion methods.
The likelihood ratio test was used to assess deviations from linearity and first-order interactions.
Arlequin v.3.1 software was used to assess deviations of genotype distribution from the Hardy-Weinberg equilibrium.
We conducted exact tests to assess deviations from Hardy-Weinberg equilibrium and test for population differentiation using Genepop v.3.4 [ 72].
We conducted residual diagnostics to assess deviations from assumed functional form, and the presence of influential data points and subject clusters.
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