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Interactions between variables were identified with second-order Sobol indices.
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Relationships between selected variables were identified through simple linear regression.
Several interactions between the factor variables were identified.
Monotonic associations between some of the variables were identified using Spearman's rank correlation coefficient.
No interactions between Aboriginality and other variables were identified on formal testing.
All independent significant associations between the predictor and response variables were identified (results of run 1).
We tried to identify if some outcomes of health inequality were associated with dizziness, since this is one of the first studies to explore this health condition in a developing country; however, no significant differences in social-demographic variables were identified between those who reported dizziness and those who did not.
The geographical location emerged as the main determinant of the methylation level in repetitive sequences and no other consistent associations between methylation markers and the assessed variables were identified across countries [ 128].
The relationships between profitability and various input and process variables were identified and interpreted.
Similarly to the gene expression, no statistically significant correlations between the ABCB1 methylation status and clinical variables were identified.
Several variables were identified as confounders of associations between exposure variables and QUS parameters.
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