Examples of using The poisson regression in English and their translations into Portuguese
{-}
- 
                        Colloquial
                    
 - 
                        Official
                    
 - 
                        Medicine
                    
 - 
                        Financial
                    
 - 
                        Ecclesiastic
                    
 - 
                        Ecclesiastic
                    
 - 
                        Computer
                    
 - 
                        Official/political
                    
 
The Poisson Regression coefficient showed the  variation of hospitalization rates
Regarding hospitalizations due to other mental disorders, the Poisson regression showed an increase in total,
discreet event for which the Poisson Regression is indicated to estimate the  relative risks of exposure in the  outcome- hospital admission.
Coefficients provided by the Poisson Regression were transformed into relative risks RR with respective confidence intervals of 95.
Multiple analysis was conducted using the Poisson regression model and the  Statistical Package for Social Sciences 22.0 SPSS.
Deddens6(2008) advocated, based on real and simulated data, that the Poisson regression gave better PR estimates for very frequent outcomes,
using the poisson regression we arrived at a model capable of predicting hospitalizations for respiratory dise.
excessive weekly weight gain was verified by the Poisson regression with robust variance.
using the Poisson regression.
behavioral variables on the  prevalence of the  strategies used to lose weight in the  past year were analyzed by the Poisson regression.
2014 were analyzed and randomly chosen through the poisson regression.
in the  present study the Poisson regression was used.
One is the  log-binomial model and other is the poisson regression with robust variance.
non-smokers was estimated using the  Prevalence Ratio PR modelled for the Poisson regression.
relative risks from the Poisson regression and adjusted simultaneously for all variables listed in the  table.