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The Pearson correlation coefficient was used to estimate linear associations among phenotypic variables.
Linear associations were determined as Pearson's correlation coefficients (r).
There were strong linear associations across the three categories of maternal physical grade for most characteristics.
There were no linear associations between the personality traits Openness to experiences and Extraversion and MARS.
We summarized pair-wise linear associations computing the four correlation matrices (Pearson's correlation coefficients), and performed PCA on each.
Furthermore, there was no evidence for non-linear associations: we therefore present results examining linear associations.
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We tested continuous variables for linear association with the outcome, which revealed no non-linear associations.
However there was no evidence for any non-linear associations.
The use of spline functions, which fit the data more closely than linear regression analyses, identified non-linear associations [23].
We then investigated if there were more complicated (non-linear) associations between weather and norovirus and performed a sensitivity analysis.
Non-linear associations were accommodated by redefining the corresponding variables.
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