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Nonetheless, some studies [ 28, 36] have also observed lowest survival among patients with HER-2 overexpression, similar to that of TN cases, a pattern that was not observed in our study and that could not be assessed in multivariate analyses given the small proportion of HER-2 overexpressed tumors.
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Multivariate predictors of missingness are presented in Table 2 (the detailed results of the univariate and multivariate analyses are given in Additional files 2 and 3).
Furthermore, we performed univariate and multivariate analyses, which give results very consistent with missing at random assumption.
For univariate and multivariate analyses, the hazard ratio is given for nuclear and cytoplasmic p21 WAF 1/ CIP 1 per 10 unit increase in intensity distribution score (IDS), along with the 95% confidence interval.
Special attention is given to the use of multivariate analyses in the High Level Trigger.
Further, alternate multivariate analyses using maternal diabetes, instead of parental diabetes, gave essentially identical results (data not shown).
Activity levels and income were not included in the multivariate analyses because of a large amount of missing data giving a final sample size of 496 (residential sample = 276, community sample = 220) for the multivariate analyses.
In multivariate analyses, reported P values are for the addition of the given factor to a model including all other factors.
However, given the loss of this finding in multivariate analyses, this bivariate association might indicate that maternal child marriage is a marker of having an older child.
We also examined whether y or z give prognostic insights independently of NPI using multivariate analyses.
€1 equals NOK 8. Table 3 and 4 give the associations (shown as bivariate and multivariate analyses) between the background variables and costs.
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