Examples of 'poisson regression' in a sentence
Meaning of "poisson regression"
poisson regression: Poisson regression is a statistical method used to model count data and determine relationships between variables
How to use "poisson regression" in a sentence
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poisson regression
Poisson regression was used to evaluate determinants of dyslipidemia.
An application of geographically weighted poisson regression.
Poisson regression models were employed to assess trends.
For the he multivariate analysis the poisson regression model was employed.
Poisson regression with robust adjustment of variance was used.
Predictors of echocardiographic response were evaluated using poisson regression method.
Poisson regression was used to estimate the association strength.
The prevalence ratios were obtained using poisson regression following a hierarchical model.
Poisson regression with generalized additive models was used.
Multiple regression analysis was performed using poisson regression with robusts variances.
Poisson regression with robust standard errors was used.
Prevalence ratios were calculated and multivariate analyses were performed using poisson regression.
Poisson regression analysis was used in analysis.
The percentage change over time and statistical significance of change were calculated by poisson regression.
Poisson regression was used in each model in the multivariate analysis.
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It was applied the multilevel analysis with poisson regression with robust variance through the hierarchical.
Poisson regression analysis was used.
Factors associated with adherence to treatment were identified using poisson regression with robust error variance p.
Poisson regression was used to estimate crude and adjusted relative risks rr.
The values of the relative risk for hospitalizations using generalized linear poisson regression model.
Poisson regression was used to construct a model for the observed associations.
Descriptive statistical analysis and univariate and multiple poisson regression with robust variance were performed.
Poisson regression was used to model data by age group and year.
Secular trends were analyzed with Poisson regression.
Poisson regression was performed in the multivariate analysis and was used hierarchical model.
The statistical model was a Poisson regression model.
Poisson regression was adopted to identify the factors associated with the disease.
Trends in incidence rates were evaluated by Poisson regression.
Descriptive analysis and poisson regression univariate and multivariate analysis were held.
Crude and adjusted analyses were estimated by Poisson regression.
Poisson regression modelling was carried out for proximity areas of varying sizes.
Adjusted rate ratios were generated using Poisson regression.
Poisson regression analysis was used to evaluate factors independently associated with excess weight.
Relative risks were estimated by Poisson regression.
Poisson regression with robust adjustment of variance was used for unadjusted and adjusted analyses.
Trends in incidence were assessed by Poisson regression.
Poisson regression analysis was conducted according to a hierarchical model for the control of confounding factors.
A classical model for count data is Poisson regression.
Data analysis used poisson regression with robust variance using previous hierarchical model.
The multiple analysis was carried out using Poisson regression.
Poisson regression analysis was used to verify the risk factors associated with exposure to hcv.
This count variable is modeled using a Poisson regression model.
Multivariable poisson regression analysis with robust variance was employed to determine factors associated with distocclusion.
Multivariate analysis was performed through Poisson regression with robust variance.
Poisson regression with robust variance was applied for verification of variables associated with high scores.
A multivariate analysis to identify independent factors was performed by Poisson regression model.
Poisson regression was used to assess the association between depressive symptoms and the independent variables.
Prevalence ratios of MetS and mobility disability were estimated by Poisson regression.
By Poisson regression no statistically significant differences were found p.
We used the technique of generalized additive models of Poisson regression to data analysis.
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Poisson regression was used to evaluate determinants of dyslipidemia
I would actually like some soupe de poisson
Poisson regression models were employed to assess trends
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Your regression models are the stuff of legend
Inhibition results in the regression of prostatic tumours
Regression analysis was used to estimate this effect
