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Univariate analysis was followed by multivariate analysis according to a Cox model.
The impact of various factors on survival was evaluated by multivariate analysis according to the Cox regression model.
By multivariate analysis according to Cox model including FE IgG and α2m/C, the independent predictor of remission was FE IgG (HR: 0.18, CI 0.041 0.753, P = 0.019).
The HRV data were dichotomized for multivariate analysis according to the best cutoffs obtained from receiver operating characteristic (ROC) curve analysis.
Multivariate analysis, according to Cox's regression model, also showed that nodal status and lysozyme levels were significant independent indicators of short-term relapse-free survival.
As HGS shows sex differences, we conducted multivariate analysis according to sex, and there were no significant relationships between HGS and ECW/TBW and MIS (data not shown).
Similar(44)
Data for each malaria-related phenotype were first analysed using multivariate regression analysis according to the distribution of the data.
Multivariate survival analysis according to the Cox model was performed to eliminate confounding variables.
Similar results were evident when performing the multivariate survival analysis according to the Cox model, with the only expected exception of the presence of lung metastasis as independent positive factor for prolonged survival (Table 5b).
Univariate and multivariate regression analysis according to the Cox proportional hazard model (Cox, 1972) and Kaplan and Meier survival curves calculation (Kaplan and Meier, 1958) were carried out using the software package SPSS 7.0 for Windows (SPSS Inc, Chicago, IL, USA).
Kaplan Meier and multivariate survival analysis according to the Cox's proportional hazards regression model (adjusted for tumour staging, type of tumour resection, patients' age and gender) was performed for evaluation of Hiwi mRNA expression and IHC results.
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