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The effects of each categorical independent variable or, if appropriate, interactions between variables are indicated by χ values, degrees of freedom, and effect significance (p-value).
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Each of the relationships between predictor and outcome variables are indicated by the letters 'a' to 'g', which refer to their related arrows in Figure 1.
Sibling interaction effects for threshold variables are indicated if there are prevalence differences between MZ and DZ twins (or siblings).
The pattern of interactions between the variables is indicated by these coefficients.
Largest absolute correlations between variables and discriminant functions are indicated by *.
Demographic differences between population groups are indicated for each variable category by Chi-square analyses in the right column.
B. On the left: correlations (linear regression) between changes of RPP (dependent variable) and changes of clinical variables (independent variables): r and p are indicated.
Groups are indicated for each variable.
However, no significant differences were observed between groups for the other variables, as is indicated by table 2. Results for mental dimensions of QoL did not reach statistical significance (shown in table 3).
VIF for each variable in the final model was < 2 indicating correlation between variables is low.
Relationship between variables was calculated using the Spearman correlation coefficient (indicated as R in the text).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com