Exemplos de uso de Using poisson regression em Inglês e suas traduções para o Português
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The adjusted analysis was carried out using Poisson Regression.
Data were analyzed using Poisson regression with adjustment for robust variance.
Adjusted analysis was performed using Poisson regression.
The adjusted analysis using Poisson regression did not show statistically significant differences among variables Table 2.
The multiple analysis was carried out using Poisson regression.
The adjusted analysis was performed using Poisson regression and taking into account the sampling process by clusters.
We performed bivariate andmultivariate analysis using Poisson regression.
The inferential analysis was performed using Poisson regression with robust variance and Spearman's correlation.
Adjusted and crude measures of association were calculated using Poisson Regression.
The statistical analysis was performed using Poisson regression with robust adjustment of variance.
Prevalence ratios were calculated andmultivariate analyses were performed using poisson regression.
None of the variables tested using Poisson Regression were significant.
Crude and adjusted analyses for potential confounding variables were performed using Poisson regression.
Multivariate analysis was carried out using Poisson regression with robust variance.
Prevalences and crude andadjusted prevalence ratios of poor self-rated health were estimated using Poisson regression.
This measure andits 95%CI were estimated using Poisson regression with robust variance.
For data analysis, we used prevalence ratios andtheir respective 95% confidence intervals estimated using Poisson regression.
Multivariate analyses were carried out using Poisson Regression, based on a conceptual model.
Prevalence of individuals with poor self-rated health was calculated, based on independent variables, and prevalence ratios and95% confidence intervals were estimated using Poisson regression.
Multiple regression analysis was performed using poisson regression with robusts variances.
Multiple analysis was performed using Poisson regression to obtain prevalence ration PR estimates with their respective crude and adjusted 95%CIs.
Multivariate analysis was performed using Poisson regression.
Multivariate analysis was carried out using poisson regression with robust adjustment of variance. prevalence ratio was the effect measure used. .
Associated fators were identified using Poisson regression.
Multivariate analysis was conducted using Poisson regression with robust variance, and p< 0.20 was used as the cutoff point for progression to the multivariate model.
Differences in incidence as a function of demographic characteristics were estimated using Poisson regression model to check these trends.
The gross and adjusted analyses were performed using Poisson regression with robust variance, according to the previously defined hierarchical model.
Multivariate analysis was based on the conceptual model for hierarchical levels, andwas performed using Poisson regression, controlling for confounding factors.
Multivariable analysis was performed using Poisson regression, with the estimation of prevalence ratios for negative self-rated health and respective 95% confidence intervals.
Univariate(p< 0.20) and multiple(p< 0.05)statistical analyses were performed using Poisson regression to evaluate factors associated with vaccination.