Examples of using Cox regression in English and their translations into Portuguese
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Ecclesiastic
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To evaluate the effect of the quantitative parameters, the Cox regression analysis was used.
HR and p-values from Cox regression models adjusting for important prognostic factors.
The potential predictors were allocated simultaneously and Cox regression was performed for the significant ones.
The univariate analysis with the Cox regression performed in this casuistic,
Cox regression was used to obtain the gross and adjusted Hazard Ratios
Cox regression, modified for cross-sectional studies, was employed,
This specification is analogous to Cox regression, with sub-hazards taking the place of traditional hazard functions.
Based on the univariate analysis shown in Table 2, the Cox regression was estimated with all continuous variables whose p-values were below 20.
The NSVT was one of the variables analyzed with Cox regression that showed significant risk HR 2.11; 95% CI: 1.04- 4.31; p< 0.05.
Subsequently, a Cox regression corrected for age,
For the Cox regression models, we tested second order interactions between age,
Cox regression was used to evaluate the effect of the clinical methods on the kind of delivery.
Cox regression was used to evaluate the association of cardiotoxicity with clinical,
Table 5 Results of Cox regression for the variables gender,
Crude analysis of the hazards ratio of mortality Cox regression showed a significant increase in risk the lower the birthweight category.
Table 3 depicts the Cox regression univariate analysis results, analyzing the impact of clinical
With the Cox regression at a significance level of 5.0%,
analysis of the independent variables controlled by the percentage of weight loss in 6 months by cox regression.
Cox regression was used to assess risk factors for cardiac events and overall mortality and p values< 0.05 were considered significant.
Hazard Ratios HR with 95% confidence intervals were estimated by bivariate Cox regression.