Significats de poisson regression en anglès

Multivariate logistic regression and poisson regression analysis were performed to examine factors associated with unintentional injuries and repeated injuries respectively.

The relationship between PPI and microbiological outcomes was assessed by logistic and poisson regression analysis for binary and count data.

Poisson regression was used to estimate percent changes in rates over time.

Modified Poisson regression was used to determine factors associated with HIV infection.

We used Poisson regression to model this relationship, adjusting for potential confounders.

Poisson regression was used to model the frequency of incidents of fall.

Predictive factors for self-assessedrecovery were examined using a Poisson regression approach.

Poisson regression models, adjusted for sociodemographic factors and alcohol consumption, were employed.

We estimated pooled annualized ICH and ischemic stroke rates from Poisson regression.

Analyses were performed through Poisson regression models with distributed lag non-linear models.

Incidence and risk factors of intimate partner violence were estimated by Poisson Regression.

Results: The Poisson regression model did not fit the data well.

A Poisson regression model was used to measure associations controlling for potential confounders.

Association between HCoV incidence and potential risk factors was modeled using Poisson regression.

Design: Annual rates of consumption of psychostimulants were compared using Poisson regression models.

The risk of SSI for each category was determined using multivariable Poisson regression.