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Differences between intervention groups were tested using the Chi square test for categorical variables and the t test or analysis of variance for continuous variables.
The associations between grade of employment and lifestyle, biological and psychosocial factors were analyzed using analysis of variance for continuous and chi-squared statistics for categorical variables respectively.
In the parametric survival model the estimated sire variance for continuous time data was 2.63, giving an estimated additive genetic variance (VA) of 10.5 over all the treatments.
*χ test for categorical variables and analysis of variance for continuous variables.
Equality of variance for continuous variables was determined using the Brown-Forsythe and Levene test.
***P<0.001 using analysis of variance for continuous variables and Fisher's exact test for categorical variables.
Baseline comparisons were done using univariate analyses of variance for continuous variables.
* From analysis of variance for continuous variables and χ-test for categorical variables.
Groups were compared using χ tests for categorical variables and analysis of variance for continuous variable.
We used analysis of variance for continuous variables and, chi-squared test for categorical variables.
Second visit characteristics were compared with analysis of variance for continuous variables and chi-square tests for categorical variables.
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