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The relation between vascular measures and risk factors other than CRP was examined (in each group separately and in the combined groups) by univariate regression analysis.
The association of all GV indexes with cardiovascular parameters was tested by univariate regression analysis.
The relationships between 4-HNE and the survival time of SHR-SP are assessed by univariate regression analysis.
Possible predictors of outcome were identified by univariate regression analysis, and statistically significant variables were analysed in multiple linear regression analysis to identify confounders and true predictors.
To establish the best model to predict subclinical atherosclerosis, multivariate regression analysis was performed by choosing the variables that were significant by univariate regression analysis.
In order to avoid any investigator induced bias all maternal, early neonatal and laboratory parameters identified by univariate regression analysis as significant predictors of treatment failure, were included.
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Factors most highly associated with uterine rupture were identified by using univariate regression analysis.
As demonstrated by Cox univariate regression analysis (Table 3), NPC patients with BAX mRNA-positive nasopharyngeal tumors were at lower risk of death (HR = 0.27, 95% CI = 0.12 0.59, P = 0.001), compared to NPC patients whose biopsies were BAX-negative.
Statistical analysis was carried out by using a univariate regression analysis.
Odds ratios with 95% CIs were estimated by univariate logistic regression analysis and then by multiple logistic regression with adjustment for number of affected vessels, age, sex, smoking, BMI, LDL- and HDL-cholesterol.
Differences in survival were determined by univariate Cox regression analysis, and survival curves were generated by the Kaplan Meier method.
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