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A valid value proportion analysis was performed for each group (4 of 5 probe sets had to show a signal) and the resultant groups of probe sets were united.
The exact coefficient for sample proportion analysis was calculated to determine all of the significant parameters (below the 0.05 level).
The exact coefficient for sample proportion analysis was performed to determine all significant parameters (below 0.05 level).
Backward stepwise multivariate Cox proportion analysis was performed to determine the influence of different clinico-pathological parameters and plasma CRP levels on CSS.
Backward stepwise multivariate Cox proportion analysis was performed to determine the influence of pathologic T stage, grade, age, gender and histologic TN on CSS, MFS and OS.
Backward stepwise multivariate Cox proportion analysis was performed to determine the influence of Spn expression, T classification, tumour grade, patient age and gender on DFS and CSS.
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T-tests were used to compare means, chi squared tests to compare proportions and multivariate analysis was performed using logistic regression analysis.
e Proportion cured was larger than proportion of advanced cases, analysis was not done.
The outcome variable for the bivariate and multivariate analysis was proportion of clients reporting that information received was sufficient.
Owing to the original data presented in an incompatible form, proportion meta-analysis was performed to calculate the pooled proportion and corresponding 95% CI.
Specifically, for a given sample size, S, we assumed that the number of females available for demographic analysis was proportioned among age classes according to the SSD.
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