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The hypotheses will be tested using multivariate linear regression analyses.
The prevalence of the two groups will be tested using multivariate logistic regression analysis.
Relationships between multiple independent variables on the dependent variable(s) will be tested using multivariate regression analysis.
The hypotheses will be tested using multivariate linear regression and, due to the cluster randomisation, multi-level analyses.
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The framed hypotheses are tested using multivariate regression with ordinary least square, i.e., linear regression estimation.
The performance of conventional EVA was tested using multivariate and univariate approaches as described below.
Differences among groups were tested using multivariate analyses of variance (MANOVA).
Group differences in quality of life were tested using multivariate analysis of variance.
In a second step, all statistically significant variables in the univariate analysis were tested using multivariate logistic regression analysis.
with age, sex, family history (any cancer), IBD status, and BMI was tested using multivariate logistic regression in the 110,452 subjects of the denominator cohort (Table 1).
The effect of the main clinical and pathological parameters on OS and PFS was tested using multivariate Cox model (Table 2).
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