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If c-erbB-2 and p53 are excluded from the multivariate analysis, then the statistical significance of the correlation becomes greater (P = 0.023).
Multivariate analysis then revealed that patients with indeterminate QFT results had significantly lower albumin concentrations and higher CRP levels than those with determinate results.
†† Combined model consists of the statistically significant variables (P < 0.05) from multivariate analysis in the three separate models combined into a single model, with multivariate analysis then conducted of all these selected variables together.
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Multivariate analysis is then needed to extract information from both the NIR spectra and measured reference data.
A multivariate analysis was then performed to identify the variables significantly associated with failure rates.
Multivariate analysis was then performed using the variables with P-value of <0.1 from the univariate analyses as covariates.
Therefore, we planned first to develop a prognostic index based on PFS-related genes in the discovery dataset, secondarily to evaluate the prognostic ability of our index in the external dataset using multivariate analysis, and then thirdly to assess predictive performance of the prognostic index again after the stratification of patients according to the debulking status of primary surgery.
Multivariate analysis was then carried out for these three parameters.
Multivariate analysis was then conducted in order to control for possible confounding.
Multivariate analysis was then conducted to adjust for the effects of other variables.
The results of this multivariate analysis were then used to develop clinical prediction models.
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