Exemplos de uso de Robust variance em Inglês e suas traduções para o Português
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build the adjusted model, we used Poisson regression with robust variance, progressively including variables showing a value of p< 0.2 in the univariate analysis.
To get around this problem, the robust variance method was used, which allows convergence of the results from the regression with similar results obtained using the Mantel-Haenszel method.
The poisson regression model using robust variance was perfomed to assess the association between the predictors
We applied the model of Poisson regression with robust variance in obtaining the PR of PAD according to the CRP median.
Poisson regression with robust variance estimates was used to estimate crude and adjusted prevalence ratios
This problem can be corrected by using a robust variance procedure, as proposed by Lin& Wei 1989.
The Poisson regression model was used, with robust variance estimation, maintaining variables with p value lower than 0.20 in the model.
Multivariate analysis was conducted using Poisson's regression with robust variance adjusting and controlling for design effect since the study was based on systematic sampling.
Poisson regression was employed, with robust variance adjustment.
multiple poisson regression model with robust variance.
adjusted analysis, a Poisson regression model with a robust variance was utilized, and the results were expressed in terms of prevalence.
The Stata Program was used to perform the adjusted analysis using Poisson regression and robust variance.
The prevalence ratios were obtained by means of Poisson regression with robust variance estimation.
adjusted prevalence was performed poisson regression with robust variance estimation.
The variables with p<= 0.20 were tested in the multivariate analysis using Poisson regression with robust variance estimation.
Crude and multivariable prevalence ratios were calculated through Poisson regression with robust variance.
Poisson regressions were performed by setting the follow-up time as one for all participants and using robust variance estimators.
The adjusted analysis use Poisson regression robust variance and the Wald test for heterogeneity.
done through the use of Poisson's regression, which had robust variance in its multiple analysis.
It was applied the multilevel analysis with poisson regression with robust variance through the hierarchical.