For multivariate models, all variables associated with the endpoint (P<0.2) were entered, with age and gender forced into the model.
In the multivariate model, all variables from the univariate analysis were included in the initial model.
In the resulting multivariate model, all remaining variables were considered significant if p≤0.05.
In our multivariate model, all variables have a different weight on the resultant PCS.
In multivariate models all variables were mutually adjusted for each other.
In the initial multivariate model, all main effects were investigated simultaneously.
In a multivariate model all patient and primary tumour characteristics were included.
When applied to a multivariate model all variables except sex, margin status and associated CIS were significant.
In a multivariate model, all predictors remained statistically significant predictors of measured NO2 annual concentrations (Table 3).
28 In the multivariate model, all of the workplace-related factors (social support, job stress, type of employment and working hours) were significantly associated with poor SROH.
