Examples of using Poisson regression model in English and their translations into Portuguese
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
The χ2, Mann-Whitney and Kruskal Wallis tests as well as a Poisson regression model were adjusted for age,
were calculated using the Poisson regression model, which assumes that the number of deaths follows a Poisson distribution.
The values of the relative risk for hospitalizations using generalized linear poisson regression model.
Prevalence ratios PR were obtained by applying the Poisson regression model with robust variance.
using a Poisson regression model with robust variance.
according to the race/skin color adjusted by educational level were calculated using a Poisson Regression model.
Descriptive statistics was applied, while the poisson regression model adjusted to identify monthly differences was applied only to analyze seasonal trends concerning reasons for cancelations.
For the analysis of seasonal trends regarding the number of surgical cancellations, a Poisson regression model adjusted to identify the monthly differences was used.
between the DHL and the many variables alone was carried out before entering the Poisson regression model.
B PR(95%CI): prevalence ratio(95% confidence interval) mutually adjusted for all variables listed in the table and estimated by the Poisson regression model, with robust variance.
and analyzed by the Poisson regression model.
tobit model and poisson regression model in three different models. .
Statistical analysis used the poisson regression model to obtain adjusted prevalence ratio(pr)
For the analysis of possible associations we used the poisson regression model(events with prevalence greater or equal to 10%) and the logistic regression analysis events with prevalence
we adjusted a Poisson Regression model considering as response-variable the number of deaths
The Poisson regression model is generally used in epidemiology to analyze longitudinal studies in which the response is the number of episodes of an event occurring over a given time.
test were selected to compose the Poisson regression model, and those which remained in the model were the variables that presented significance level of p< 0.05.
Subsequently, the Poisson regression model was used to conduct a multivariate assessment of associations between the variable response
cohort effects were assessed employing the Poisson regression model, using estimated functions,
The Poisson regression model, with logarithmic link function,