Exemplos de uso de Poisson regression model em Inglês e suas traduções para o Português
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Table 2 showed the Poisson regression model.
The Poisson regression model uses the following specification.
For the he multivariate analysis the poisson regression model was employed.
A Poisson regression model with robust variance was used for analysis of the associated factors.
The following variables were considered in the Poisson regression model.
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In the multivariate analysis, a Poisson regression model was constructed with robust variances.
A multivariate analysis to identify independent factors was performed by Poisson regression model.
We used the Poisson regression model to determine the RP of PAD according to the risk factors.
Trend analysis was performed using a Poisson regression model.
The Poisson regression model was used to identify factors associated with hypertriglyceridemic waist.
The values of the relative risk for hospitalizations using generalized linear poisson regression model.
The Poisson regression model was used to estimate the crude and adjusted prevalence ratios PR, and the 95%CI.
The adjusted prevalence ratios were obtained by the poisson regression model with robust variance ci 95.
A Poisson regression model was developed with robust variance to identify self-medication to the associated factors.
To identify significant changes in the trend of events over time,we used the Poisson regression model.
The poisson regression model using robust variance was perfomed to assess the association between the predictors and the outcomes.
Variables with significance level≤ 0.20 were included in the Poisson regression model and adjusted to a higher level.
We used the Poisson regression model to determine and quantify the effect of the explanatory variables on social participation.
The prevalence ratio(r) and confidence interval of 95%(ci95%)were assessed using the poisson regression model.
Multiple analysis was conducted using the Poisson regression model and the Statistical Package for Social Sciences 22.0 SPSS.
The Poisson regression model was used to assess the relationship between year of diagnosis and incidence of AIDS, adjusted by sex.
Variables with level of significance<0.20 were included in the Poisson regression model and adjusted to the immediately higher level.
The Poisson regression model showed an association between having heard of HPV and higher levels of schooling> 8 years and being female.
Then, the variables with p<0.20 in the bivariate analysis were tested in the Poisson regression model by stepwise regression. .
Thus, as an alternative,we sought the Poisson Regression Model with Robust Variance to analyze the factors associated with dissatisfaction.
Crude and adjusted prevalence ratios(pr)were estimated by univariate and multiple poisson regression model with robust variance.
A Poisson regression model is sometimes known as a log-linear model, especially when used to model contingency tables.
The χ2, Mann-Whitney and Kruskal Wallis tests as well as a Poisson regression model were adjusted for age, sex, nutritional status, smoking and physical activity.
The Poisson regression model was built with the variables being included in the model one by one, organized from the lowest to the highest p value.
Period and birth cohort effects(APC)were calculated using the Poisson regression model, which assumes that the number of deaths follows a Poisson distribution.