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Risk factors for VAP were determined using univariate analysis and logistic regression multivariate analysis.
Also, Ortiz-Corredor et al. (2007) studied motor recovery after GBS in childhood, using univariate analysis and found that cranial nerve impairment, requirement of assisted ventilation, presence of quadriplegia, and presence of non-excitable motor nerves were associated with delayed motor recovery time.
The individual effect of each variable was first examined separately using univariate analysis, and then the combined effect of the explanatory variables on the occurrence of MDR-TB was examined in a multivariate analysis.
Data were analysed using univariate analysis and Generalised Linear Modelling.
All of the prognostic factors were tested using univariate analysis and none were found to significantly determine DMFS.
Data were analysed with conditional logistic regression, initially using univariate analysis, and then using a multivariate model.
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Six of these studies used univariate analysis and one used multivariate analysis.
A correlation was identified between the presence of cytoplasmic nm23 and shorter overall survival (P=0.03), but no correlation was identified between nuclear nm23 staining and survival using univariate analysis (Holm and Tanum, 1996).
Furthermore, using univariate analysis, disease recurrence and positive staining for TGF-β1 and IL-6 were all significantly linked with shorter survival (Table 3 and Figure 8B; P<0.05).
Logistic regression analysis was performed using univariate analysis (Model 1) and multivariate analysis (Model 2), which was adjusted for all of the confounding variables.
The data were analysed using univariate analysis of variance and SPSS statistics including ANOVA to re-examine the connections between all parameters for optimisation of mammographic imaging.
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