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Both univariate and multiple linear regression analyses of quality of life data were performed.
The results of both univariate and multiple logistic regression analysis are shown in Table 2.
Both univariate and multiple analysis concerning death or metastasis (Table 5) revealed that tumour stage and nodes were prognostic predictors for oncological outcome.
To assess the role of selected determinants on the risk for LTBI and TB occurrence, we performed both univariate and multiple regression analyses.
To establish whether differences in language groups influence QoL scores, both univariate and multiple variable models were used to examine unadjusted and adjusted effects on QoL.
Both univariate and multiple regression analyses were conducted on the following potential risk factors to establish associations with poor outcome: obstetric risk factors, infant demographics, labour room risk factors, neonatal morbidity, therapeutic interventions and duration of hospitalization.
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Results of both the univariate and multiple linear regression analyses of QoL change scores for the two treatment groups are displayed in Figures 4, 5, and 6 with the previously published (Littlewood et al, 2001) univariate analyses QoL results included as a reference.
This unexpected result for CAIX and PHD2 was confirmed in both univariate analysis and multiple covariate Cox regression, demonstrating that it is not an artefact due to correlations of the variables in the Cox model.
Univariate and multiple linear regression analysis in both RA and HC cohorts combined.
Both one- and two-way univariate analysis of variance (ANOVA) and simple univariate and multiple linear regressions were used to evaluate the indices.
Multivariate, univariate and multiple univariate data analysis techniques were used for defining regional rural urban interfaces.
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