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Statistical analysis was performed by using univariate (nonparametric rank sum test) and multivariate (logistic regression) analysis to evaluate the relationship between gene expression and clinicopathological parameters, including age, FIGO stage, histological grade, lymph nodal involvement, residual tumor size, CA125, ER expression, PR expression and P53 expression.
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We used 1993 as the base for comparing results by using univariate and multivariate analyses.
Optimum values of significant variables were selected by using univariate optimisation approaches.
Factors most highly associated with uterine rupture were identified by using univariate regression analysis.
By using univariate and multivariate analysis, clinical risk factors for 1-year mortality were identified.
Survival data were evaluated by using univariate and multivariate analyses.
NCR dispersion across sites was assessed by using univariate boxplots.
Trends in hip arthroscopy utilization were evaluated using univariate and regression analyses while stratifying by fellowship training experience.
To formally assess performance differences we used univariate and multivariate nonparametric statistical tests [ 15].
Univariate analysis of D0 data from survivors and nonsurvivors was performed by using the nonparametric Mann-Whitney test.
First, we obtain the nonparametric estimated calculation formula for expected utility by using the nonparametric estimation.
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