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Multicollinearity between variables will be verified.
Scatterplots of the relationship between variables will be examined to check for linearity or potentially non-linear associations.
Interactions between variables will be assessed with the log likelihood ratio test based on results from the adjusted analysis.
Correlation between variables will be assessed using the Pearson correlation coefficient for normally distributed variables or the Spearman correlation otherwise.
Associations between variables will be assessed using Fisher's exact t test and the χ test; correlations will be tested by the Pearson correlation coefficient.
77 The Pearson correlation coefficient (r) between variables will be calculated to find items that have a correlation over 0.30 indicating items that share enough properties to be potential measures of the same factor.
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The case-only tests presented here are only valid under the assumption of independence between gene and environmental variables; any dependence between these variables will be reflected in the case series even in the absence of G-E interaction and will lead to biased estimates of interaction.
Relationships between categorical variables will be examined using chi-square analyses, between continuous variables Pearson's product moment correlation test and for relationship between continuous and categorical variables one-way ANOVA of variance.
The relationship between continuous variables will be analyzed with the Pearson correlation coefficient, and the relationship between two categorical variables will be analyzed with the chi-square test (after verification of the test conditions; if conditions are not met, Fisher's exact test will be used).
The association among variables (different log parameters) via computing correlation coefficient such as Pearson correlation coefficient, which is one of the most widely used metrics of communicating the strength of the connections between metric variables, will be analyzed.
Unless stated otherwise, inequalities between random variables will be meant in a (mathcal {P}_{[underline {a},overline {a}]} -quasi-sure sense (written (mathcal {P} -quasi-sure {a} -quasi-sure}]})-q.senser short), writtennequalities between (mathcal{P}_)-progressively measurable processes will be in the (mathcal {P}_{[underline {a},overline {a}]} -q.ss dt)-q.e.
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