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In multivariate model, independent variables associated with anemia were moderate disease activity and CRP.
In the multivariate model, independent variables were eliminated according to backward selection but remained in the model if the P-value was < 0.05.
In the multivariate model, independent variables were eliminated from the highest to the lowest P value but remained in the model if the P value was <0.05.
Finally, we also added the variables age and gender to the final multivariate model independent of whether they showed any association with the outcome.
We show that both cortactin and lymph node metastasis are good predictors for DSM using a multivariate model independent of cyclin D1 and FADD (Table 4A).
In the multivariate model, independent variables were eliminated from the highest to the lowest P value but remained in the model if the P value was less than 0.05.
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When considered in multivariate models, independent associations were found between a range of markers of disadvantage and smoking status.
Significance of these variables in both the bivariate models and the multivariate model suggests independent effects of the selected predictors as risk factors.
Second, in a multivariate model, the independent associations between risky sexual behaviours and substance uses were investigated, controlling for various socio-demographic indicators (Model 2).
In addition to age and sex, characteristics that showed statistical significance in the univariate analysis were included in the multivariate model as independent variables.
The correlation between episiotomy and low KHQ score in the multivariate model is independent of previous UI, parity, and time to follow up.
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